http://colt2008.cs.helsinki.fi/programme.shtml
COLT 2008
http://colt2008.cs.helsinki.fi/papers/103-Sriperumbudur.pdf	11	Injective Hilbert Space Embeddings of Probability Measures	academic advances algorithmic amer analysis applications applying approximation arbitrary aronszajn bach behaviour berlin biological borel borgwardt bounded bousquet called cambridge cannot compact component conditional conference consistency constrained convergence conversely corollary correspondence covariance cybernetics data decaying december decreasing define dependence diego distribution distributions dudley editors embedding entire equality exponential fgss finite following fourier from fubini fukumizu function functional functions gasquet germany give gretton guide hand have herbrich hilbert hill hoffman holds independence independent indicator influence information international interval inverse jordan journal kernel kernels koller learning lebesgue lemma logothetis machine machines mallat math mcgraw measurable measure measures measuring method methods neural pages paley platt ported press probability problem proc processing proof proved proves publishing quoted rapidly rasch real reduces reed references report reproducing research result riemann right roweis rudin sample scattered scholkopf scientific sgss shorack show side signal similarly simon since singapore singer smola some song space springer statisticians steinwart strichartz substituting such suffices support systems technical tempered that then theorem theory therefore tour trans transform transforms type university vector verlag version wavelet wendland where which whole wiener with witomski world york zero
http://colt2008.cs.helsinki.fi/papers/108-Balcan.pdf	3	The True Sample Complexity of Active Learning	about above according achieve achieved achieves achieving active additional additionally advances after again aggregation agnostic agreed agrees algorithm algorithms along also alternatively although always analysis annual anthony antos approaches appropriate arbitrarily arbitrary argmin argminj argument aside assume atlas balcan bartlett based because before begin beled between beygelzimer binary blum book bound boundary bounds broder call calls cannot case castro certainly chapelle chapter chernoff child chosen class classifier classifiers clear clearly close closest coarse cohn combination combined combining complex complexities complexity computation condition conditions conference consider consistency consistent constant constants construct constructing contained contains contradiction contradicts correctly corresponding could countable countably counting creates dasgupta data datadependent decompose decomposing decomposition decreasing deepest define definition denote denoted dense depth described describing desired devroye dimension disagrees distance does draw drawn each easy effective effort either elements else enough essentially eturn even event events ever every example examples exist existence exists explicitly exploit exponential extends fact fail failure faster final finally find finite first fixed following follows fore fraction from function functions furthermore general generalization generally generate given goes good greedy growing grows guarantees gyorfi hanneke happens haussler have heuristic hierarchies high hoeffding however hypotheses idea identifies ieee implies improving index indexed inequality infinite information initial instance integers interesting international intervals into iterate iterating itself john kalai know known label labeled labels ladner langford large latter leaf learnable learning least leaves left lemma lemmas level like limiting listed littlestone long lower lugosi machine made make makes manner many margin maximum means measure mentioned method mini minimax minimization mistakes model monteleoni more most mostly must neural node nodes nonzero note nothing notice nowak number obtain often order other otherwise outline output outputs over overlapping particular passive paths pattern perceptron perform phase phases points polylog positive possible predicting press probabilistic probability problems procedure proceed proceedings processes processing proof property provably prove proved provide purely quantity quite randomly rate rates rather reason recognition recursion recursive recursively references regions relation request requested requests require required respect result results return returned returns right risk root running sake same sample satisfied satisfy satisfying schlkopf section self semi sense sequence sequences sets shatterable shattered shawe show similar simple simply since size smaller some sons special specifically split splitting springer standard statistical step still strategy strictly strong structural style subset subsets subtle subtree such suitable supervised support suppose systems take taking target taylor teaching technique tells than that them then theorem theory there therefore therei thermore these this those though three through thus time toward training transactions tree triangle trivial true tuple turn typically under union unions uniquely universal unlabeled update upon used using valid value vapnik verifiable verlag very warmuth when where which while wiley will williamson with within words work would xint yield yint zhang zien
http://colt2008.cs.helsinki.fi/papers/68-Kearns.pdf	10	Learning from Collective Behavior	activity allocation american analysis annual august behavior bikhchandani brown bylander cascades change cohen computer conformity contrarian cover cultural custom decision dodds drehmann economic economy editor elements experiment experimental fads fashion fictitious financial foster foundations from functions games global herding hirshleifer ieee information informational internet iterative john journal koopmans learning line linear markets muhamad networks noisy oechssler others perceptron perceptrons perspectives play political polynomial problem production references regret report review roider science search social solutions sons study symposium technical theory thomas threshold time vohra watts welch wiley york
http://colt2008.cs.helsinki.fi/papers/08-Wang.pdf	48	On the Margin Explanation of Bo osting Algorithms	akll algorithm algorithms also american analysis annals annual antos application applications arcing artificial asuncion bagging bartlett based bauer bfos boost boosted boosting bounded bounding bounds breiman cascade chervonenkis classification classifier classifiers combinations combinatorial combined comparison complexities complexity computation computational computer conference constructing convergence convex data decision decisiontheoretic density dependent detection deviation devroye dietterich distributions effectiveness empirical ensembles error events experimental experiments explanation family features frequencies freund friedman games generalization golea gosi grove hoeffding ieee inequalities intel international ject john jones journal kohavi koltchinskii langford learned learning ligence limit linder line machine margin mason maximizing measures methods multivariate national neural newman olshen panchanko pattern practical prediction probabilities probability quinlan random randomization rapid recognition references regression relative repository research reyzin sauer schapire schuurmans sciences series sets sfbl simple society sons statistical statistics stone system their theory three trees tsch tutorial uniform using vapnik variables variants viola vision voting wadsworth warmuth wiley with
http://colt2008.cs.helsinki.fi/papers/53-Gyorgy.pdf	45	On-line sequential bin packing	achieved advances after algorithm algorithms anyone approximation automata bayes bianchi boston bottou boyar cambridge cesa choice coffman colloquium computer constant contrast contributions covering decision dosa dresher drop editors epstein even experts favrholdt first functions games garey hannan hard ieee independently information international items johnson kakade kohrt languages larsen learning lecture line loss lugosi mansour markov maximum memory merhav namely neural notes number online optimal ordentlich packing parameter pedersen plays prediction press princeton problem problems proceedings process processing programming publishing references rejection repeated resource rest risk saul science seiden sequence sequential seroussi strategies stuck suffers survey systems terms that then theoretical theory this threshold total transactions tucker university volume weinberger weiss where with wolfe
http://colt2008.cs.helsinki.fi/papers/104-Chaudhuri.pdf	40	Finding Metric Structure in Information Theoretic Clustering	ackerman acknowledgements agglomerative algorithm algorithms allerton also annual applications approach approximate approximated approximating approximation arbitrarily arya astronomical asymmetric axiomatic badoiu baker banerjee based because becomes bialek blomer bottleneck bregman briefly center centers chen chuzhoy classification clustering communication comput computational computer computing conference control core coresets cost costs cover crammer criteria croft csiszar dasgupta define development dhillon difference dimensions discrete discrimination discussions distance distances distributional distributions divergence divergences divisive each editors elements endres english entropy euclidean european exists facility factor feature feder feige feldman finding foundations from galaxy garg geom geometry ghosh given gonzalez greene guha halperin hard helpful hence heuristic high ieee implies indyk inequalities inference information intercluster international inverse jmlr john journal kanungo kappamedian kearns khandekar khanna kmeans known kolliopoulos kortsarz krauthgamer kumar lahav large learning least like linear local location machine make mallela maximum mazumdar mccallum mcgregor means measures median melbourne mention merugu method metric minimize minimum moffat monemizadeh monthly most mount multiple munagala must naor nearly netanyahu nips notes number objective optimal original otherwise pages pandit panigrahy pcenter peled pereira piatko picking points possible press probability problem problems proceedings ptas ratio references related research retrieval rijsbergen royal sabharwal sanjoy scheme schindelin science search series sets siam sigir silverman simple sketching slonim smallest society sohler solution some somerville sons sources specifically spectra squares statist streaming sublinear submitted such symposium telecommunications text thank that their then theor theoretic theory there this thomas threshold time tishby tops transactions using venkatasubramanian vishwanathan weak well when whereas which wiley wilkinson with words wortman would york zobel
http://colt2008.cs.helsinki.fi/papers/86-Balcan.pdf	31	Improved Guarantees for Learning via Similarity Functions	advances also analysis annual approximate approximation arora arrangements artificial babai balcan bartlett based basis batch bayesian benedek bengio bennett between beyond biology blum boolean bounds calculation cambridge campbell canu carolina certain chapelle characterizing circuits classes classifiers codes colt complexities complexity comput computat computation computational computer computing concept conclusions conference consider constant construct correspondence covering cristianini david define definitions depth dimension discipline distribution distributions ecml eiron either embeddings enough equation equations equivalence error establish establishes establishing euclidean european exists explor feldman fixed focs following follows forster foundations fourier from fulfill function functions furst furthermore gaussian girosi given good gopalan guigue gunn guruswami half halfspaces hallelujah hardness have herbrich hilbert hinge hype icann ieee inequality input international itai jackson journal kandola kearns kernel kernelgood kernels khot large largest lattices learn learnability learning leaving leveraged limitations linear linial littlestone london loss mach machine machines made mansour mapping margin matching mcallester mendelson methods mitchell modelling more most must networks neural newsl nisan noise noisy norm north noti notion number online optima optimization order osuna parities park particular pattern perhaps point points ponnuswami possible powerful prediction predictions predictor press probabilistic problem proc proceedings proof prove provide pursuit query rademacher raghavendra rakotomamonjy rate reasonable reducing references regressors regularization regularized related relevance relies representing research resp respect respectively result results risk roth rudich same satisfied satisfying schlkopf scholkopf science sciences second semi separation setting shawe show sigkdd similar similarity simon simplified singer smallest smola some space spaces span sparse springer springerverlag srebro statistical stern strictly structural such supervised support sweedyk symposium system systems taylor than that then theorem theoretical theory there thirtieth this time tipping traditional transform triangle tsuda under university upon using valid vector vert vincent violation vishwanathan warmuth weakly well where which will with workshop yields zhang zien
http://colt2008.cs.helsinki.fi/papers/24-Ying.pdf	24	Learning coordinate gradients with multi-task kernels	above addition algorithm algorithms allows also amer analysis ando appealing appendix apply applying approach approximation argument argyriou aronszajn arranging assembled assertion assume atomic attention auxiliary averages back background barnhill bartlett basis before begin benchmark biomedical both bound bounded bounding bounds bserve bull called cambridge cancer caponnetto capture chapelle chen choice choose choosing class classification classifiers colt combining compact compare completely completes complexities computation computing conclusions conj consequently constant continuous contribution convention convergence coordinate covariance covariances covariation cristianini cucker data datasets david decomposition define defined definition denote density depending derivative design desired details different dimension dimensional directly discovery dist distribution divided donoho editor efficient empirical employ ensure equality equals equation equations error especially estimate estimation evgeniou examples excess exists expectation experiments exploiting explore expression extensive facilitates fact feature finally finite first following follows fore form foundations framework from function functional functions further future gaussian gene genes gine golub gradient gradients guyon hand have hence here hich high hold holder holds however implement implies importantly indeed inequality inference inherent integral interesting into introduce involved kernel kernels know koltchinskii lasso learned learning lebesgue lemma lemmas likewise linear lipschitz listed literature loss lsmgl machine machines main manifolds margin mason materials math mathematical matrix maxxx measure mendelson meter method methods metric micchelli minimum modified molecular monitoring monotone more moreover motivated mukherjee multi multij multiple multitask negative network neural nips notations note novel number observations observe omit omputation only optimization outer over pages panchenko paper parallel parenthesis partial pattern pendent perspective plugging poggio pontil possible prediction predictive preliminarily preprint present presented press previous probability processes products proof properties property propos proposition propositions prove provide provided purpose pursued pursuits putting rademacher ranked rather ready recall recalling recovered reduction references referred regression related relatedness remains replacing representation representer reproducing research respect respectively result results ridge right risk royal sample saunders scalar schoenberg scholkopf schuller science scientific second section selected selection sequently shawe showed shrinkage siam side sides simplicity simplified since smale smola soft some spaces spectral square standard stated statist statistical step steps structural structure structures study subset substituting such suffice support svms table taking task tasks taylor technique techniques tells term terms test that thefpal then theorem theory there therefore therenm these this those tibshirani tion training trans true turn uniform unifying universal university unlabeled using validated valued vapnik variable variation various vector versus weight wellner weston when where which wiley will with write written yields ying york zhang zhou
http://colt2008.cs.helsinki.fi/papers/88-Rubinstein.pdf	32	Geometric & Topological Representations of Maximum Classes with Applications to Sample Compression	algorithms alon annals annual applic applications applied arrangements bartlett behw berkeley blumer boolean bounded bounds chervonenkis classes comb combinatorial comp complete compressing compression computation computer conference conjecture contractible convergence cube data david density dimension dimensions discrete drawn dudley eatcs edelsbrunner editors ehrenfeucht events families finite floyd foundations four frankl frequencies functions gartner generalized geometry greater haussler honor hyperbolic hyperplane icsi inclusion infinitary information introduction issue jerzy journal kuzmin languages learnability learning linear litman littlestone machine manifolds manuscript many math maximum mazur mistake models monographs neylon neyman note notes numbers olshen order pacific packing pages piecewise poincare points predicting prediction press prob probabilities problem problems proceedings pseudo randomly range ratcliffe references relating relative report research rourke rubinstein sample sanderson sauer schemes science sciences sets shelah shifting smale solutions some space spaces sparse special sphere springer springerverlag stability structure subsets system technical than their theoretical theories theory thesis topology trace uniform unlabeled unpublished vapnik vapnikchervonenkis variability vectors verlag volume wadsworth warmuth welzl with
http://colt2008.cs.helsinki.fi/papers/114-Kleinberg.pdf	43	Regret Bounds for Sleeping Experts and Bandits	abstract acbf acbfs adam adaptive advice aggregating aleksandr algorithm algorithms allocations american analysis appeard appeared appl applications approximation aspects assoc asymptotically auer avrim azuma bandit bandits bayes bianchi binary blum bounded bruche bulletin cbfh certain cesa colt combining comput computer contributions cover david dependent design dresher dyadische efficient elements epochgreedy experiments expert extended external finite fischer foundations freund from game games hannan haussler helmbold herbert hoeffding ieee inequalities information internal john kalai karp khintchine kleinberg langford learning line littlestone machine majority manfred mansour math mathematical multiarmed nick nicolo nips noisy nonstochastic optimization pages paul peter plays prediction predictors press princeton probability problem random references regret repeated richard risk robbins robert rules santosh schapire science sciences search sequential siam side singer society soda some specialize stat stoc strategies sums symposium syst system tauman that theory thomas time tohoku tong tucker uber university using variables vempala volume vovk warmuth weighted wiley with wolfe yishay yoav yoram zhang
http://colt2008.cs.helsinki.fi/papers/31-Koltchinskii.pdf	25	Sparse Recovery in Large Ensembles of Kernel Machines	additive advances aistat allows annals annual anova appear banach bartlett blanchard boosting bound bounded bounds bousquet cessing chine colt complexity component conditions conference consider constant contraction crammer cristianini data david design empirical expectation following function functional further garrote geometric ghaoui goal gression herrmann holds inequality information ings inst intelligence jordan journal kerm kernel kernels keshet koltchinskii lafferty lanckriet last learned learning least lecture ledoux lemma lipschitz machine machines make massart matrix mendelson micchelli minimization models multivariate neural next nips nonnegative nonparametric notes observational observe parameters penalized performance philadelphia poincar pontil probability proceedings proceedj processing programming rademacher ravikumar references regularization replace research result risk satisfying selecion selection semidefinite siam singer smoothing spaces spam sparse sparsity spline springer srebro statistical statistics support symmetrization systems talagrand that theory this tificial uniform union using vector wahba wasserj will with write york yuan zhang
http://colt2008.cs.helsinki.fi/papers/81-Zhou.pdf	46	Time Varying Undirected Graphs	annals appear aspremont banerjee before bias bickel biometrika bounded boxcar case changing chosen claim close compare conb concentration context corollary correlated covariance deviation diagonal distributed drton each elements enough entries equalities estimation expansions first following follows formly formula from gaussian ghaoui graphs have hence here hold identically ignoring implied implies include independent independently inequalities inequality integral interest journal kernel large learning lemma levina likelihood machine march maximum maxk mean mention might model normals obtain omit other over perlman products proof proofs prove random references regularization replace represent research respectively riemann samples section selection sequence shorthand show similarity similarly small some sparse squared stants statistics strictly such symbols taylor term that then this thresholding through throughout uniformly using vaniables variances weighs where which wish with
http://colt2008.cs.helsinki.fi/papers/46-Hazan.pdf	5	Extracting Certainty from Uncertainty: Regret Bounded by Variation in Costs	adam advice algorithm algorithmic algorithms allenberg application approximation ascent auer bandit bayes benny best bianchi boosting bounds cambridge cesa chamy comput computation computer conference contributions convex cover decision decisiontheoretic descent dresher editors efficient expert exponentiated finance freund full gabor gains game games generalization generalized gilles gradient hannan helmbold herbster icml ieee improved infinitesimal information international james journal jyrki kalai kivinen learn learning line linear littlestone loss losses lugosi mach machine majority manfred mansour mark martin math multiarmed neeman networks neural neurons nick nicolo nonstochastic november online order pages peter play portfolios prediction predictor predictors press problem problems programming references relative repeated research risk robert santosh schapire sciences second siam single stoltz syst system theory tracking transactions tucker universal university vempala versus volume vovk warmuth weighted with wolfe yishay yoav zinkevich
http://colt2008.cs.helsinki.fi/papers/80-Dani.pdf	37	Stochastic Linear Optimization under Bandit Feedback	adaptive advances agrawal algorithmic allocation along also american analog analogously analysis annals appear applied apply approaches armed aspects associative asymptotically auer available awerbuch bandit based before being berry bert best bianchi bias books bounds bulletin case cesa choice chosen circle colin compare completes completing component components comput computationally computing concentration concepts condition conf confidence consider contribution correct dani david decision decisions denote design dimensional discrete distributed donald each efficient endto even exact expected experiments exploitationexploration extension feedback finite fischer following follows francisco freedman fristedt from full further game general geometric given global have hayes history http index information international issn kakade kaufmann kleinberg learn learning lemma linear lines long mach machine martingales mathematical mathematics mcdiarmid mean methods morgan multi multiarmed naoki neural nips notion october offs online only optimization optimum other outcomes over pages peter philip policies possible price probabilistic probabilistiic probabilities probability problem problems proc proceedings processing proof references regret reinforcement related robbins round rounds routing rules sahni same sample sartaj satisfies sequence sequential sets setting siam society some springer stoc subset summing suppose symposium systems tail techniques that then theory this thus time total toward trade using values varying vectors volume when with
http://colt2008.cs.helsinki.fi/papers/71-Angluin.pdf	19	Learning Acyclic Probabilistic Circuits Using Test Paths	aacr aacw alphabet analog angluin annual aspnes chen circuit circuits computing conference dana eighth injecting injection james jiang large learning pages press proceedings queries references reyzin symposium theory thirty value values with yinghua york
http://colt2008.cs.helsinki.fi/papers/90-Ben-David.pdf	39	Relating clustering stability to properties of cluster boundaries	accuracy advances alberts algorithms analysis annals annual appear applications approximation assessing avoid axiomatic based beaudry bendor berens berkeley berlin bertoni biocomputing bioinformatics biomolecular bittner blanchard bootstrapping bousquet braun bshouty bubeck buhmann california cambridge cancer carpten cautionary central chen churchill classification cluster clustered clustering clusterings clusters cohen colt comparing component computation computational computer conclusions conference consistent constant cross cutaneous data david department dietrich discovering domany dougherty dudoit editors effectiveness elisseeff estimate estimation experiments expression finite focs framework fridlyand from functions gaussian gene gentile ghosh gillanders glatfelter good gooden green guyon hayward hendrix icml ieee improve information informational internal international investigation jegelka jiang kaufmann kernel kerr kmeans koller krieger lange learning leja levine limit limits lloyd look lueders lugosi luxburg machine malignant manuscript marincola means median meila melanoma meltzer method methods microarray minimization mixture model molecular moore nature neural nips note number objective optimum order ostrovsky overfitting pacific pages platt pnas pollard pollock preparation preprint press principal probability problem proceedings processing profiling properties psychometrika rabani radmacher references reliability report resampling roth roweis rowseis sampas samples schulman scores seftor select selection shakhnarovich shamir simon singer smolkin sober society solutions sondak springer srebro stability stabilitybased statistical statistics structure studies suppl swamy symposium systems technical theorem theory third time tishby trent twenty type uniqueness university unsupervised using valentini validation validity view wang with yakhini york zwald
http://colt2008.cs.helsinki.fi/papers/129-Feldman.pdf	14	On The Power of Membership Queries in Agnostic Learning	advances agnostic agnostically agreements algorithms angluin annals appear applications attribute automata available bartlett based basis berkeley bfkl blum boolean boosting bounds bshouty central certain chervonenkis circuits codes colt combinations combinatorial communications complexity computation computational computer computing concatenated concept conference constant construct constructions convergence core correlated crypto cryptographic cryptology data decision decoding depth determinism distribution donnell dudley efficient elbaz elsw empirical events exact expressions faulty feldman fgkp finite focs formulae fourier frequencies from function functions furst generalizations generator geometric goldman goldreich goldwasser gopalan guruswami halfspaces hard hardness hastad haussler hill http ieee impagliazzo inapproximability information international jackson journal kalai kearns kharitonov khot kkms klivans kushilevitz kwek learnability learnable learning lecture levin limit limitations linear linial lipton list logic lower luby luca machine mansour maximizing measures membership micali model models monomials monotone more neural nisan noise noisy nonadaptive notes optimal other pacc pages parities parity patterns pollard polynomial ponuswami predicate primitives probab probabilities probability problems proceedings processes pseudorandom pseudorandomness queries raghavendra random randomness references relative research results schapire sciences scott sellie separating servedio shah siam some spectrum springer statistical stoc stochastic sudan symbolic system tamon teachers their theorems theoretic theory time toward transform trees trevisan uncorrelated under uniform using valiant vapnik verbin verlag wadhwa wileyinterscience williamson with york
http://colt2008.cs.helsinki.fi/papers/105-Mahalanabis.pdf	50	Density estimation in linear time	acceptable alexey annals appearance approximating april arxiv between bounds cervonenkis church classes combinatoa combinatorial complexity computation convergence daniel data density devroye dimension distance distances distributions embeddings entropy estimates estimation estimators events factor factors frequencies generators gosi hastie henry histograms http hypothesis ieee indyk information jacob jections john journal kenneth kernel kolmogorov laszl learning lection lugosi machine mahalanabis math mathematical method methods minimum mixture multivariate nonasympa nonlinear nonparamet note ping piotr primenen probabilities probability pseudorandom random rates reduction references research rial robust sally satyaki scheff series smoothing sons springer stable statist statistics stefankovi stream tail teor test testing their theoe theory totic transactions trevor uniform univera universal useful using vapnik verlag verojatnost view vladimir width wiley wolfowitz yannis yatracos york
http://colt2008.cs.helsinki.fi/papers/70-Doliwa.pdf	18	Dimension and Margin Bounds for Reflection-invariant Kernels 	advances alexander algorithm algorithmic analysis annual appear arpa arrangements artificial based bell bernard bernhard between biocomputing boolean boser bound bounds burges burkhardt cambridge christina christopher circuit classes classification classifiers combinatorica communication complexity computational computer computing concept conference constructing cristianini cryptographic david diffusion dimension discrete eiji eike eiron eleazar embeddings error eskin estimating euclidean factorization forster foundations functions gideon given graphs guyon haasdonk half hans information input interim international introduction invariant isabelle john journal jurgen kandola kernel kernels kiltz kondor krause laboratories lafferty largest learning leslie limitations linear linial lokam lower lyons machine machines manfred margin margins matrices matthias measures mendelson method methods mubarakzjanov multiplicative nadav narayana nathan nati nello networks neural niels noble norms optimal other pacific pages pathe pattern personal possible press proceedings processing protein rank razborov references relations report representing research risi rustam sadohara satya schechtman schmitt schoelkopf science sciences semantic shahar shai shawe sherstov shraibman shraiman sign similarity simon smallest software spaces spectrum string support suttorp symposium system systems takimoto taylor technical technology theoretical theory thorsten threshold training ulrich unbounded university updates using vapnik vector vladimir warmuth william workshop
http://colt2008.cs.helsinki.fi/papers/32-Ailon.pdf	9	An Efficient Reduction of Ranking to Classification	advances aggregation algorithm algorithms alternative annual appear approximation area aslam based bertinoro boosting british california canada characteristic cikm clickthrough clustering colt columbia combining comm computing condorcet conference constrained cortes corvallis cossock crammer curve data december deterministic discovery discrete efficient eighth engines errors experimental fourth francisco freund fusion germany hanley hedge heidelberg hoare holden icml improved information international italy iyer jain joachims journal june kenyon knowledge learning lehmann machine magnitudepreserving management margin mathieu mclean mcneil meaning meets methods middle mining mohri montague natural neural ninth nips nonparametrics november online operating optimizing oregon other pivoting pranking preferences press problem problems proceedings processing quicksort radiology rank ranking ranks rastogi receiver regression research retrieval rome rudin schapire schudy search siam sigkdd singer soda springer state statistical stoc subset symposium synthetic systems theory thirty twenty under university using vancouver verlag waoa williamson with workshop york zhang zuylen
http://colt2008.cs.helsinki.fi/papers/Smith-open-question.pdf	17	Learning Rotations	above acker algebra algorithms alternative applications area attitude august better between bounds bregman cameron computer conformal dhsa directions divergences doran estimate exploit explored exponentiated february functions generalized geometric geometry gradient graphics group groups hestenes identify inquiry international iwmm journal july june lasenby lead learning least line loss lower machine manfred manuscript march math matrix needs online orthogonal other pages phys problem procrustes progress projections psychometrika ratsch references regret research review rotations satellite schonemann several siam solution sommen spherical spin square squares structure subspaces suitable than that there this tsuda unpublished updates upper used vectors vision wahba wareham warmuth what winnowing workshop
http://colt2008.cs.helsinki.fi/papers/11-Bernstein.pdf	34	Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains	action adaptive advances agents aggregation algorithm algorithms analysis andreyb antos appear approach approximation approximations artificial assumptions athena atkeson auer automatic autonomous bartlett based belmont bernstein bertsekas bonarini bound bounds boutilier brafman chapman chow college complexity computational conference confidence continuous control converges dean decision deterministic discovery discrete discretization diuk domains dynamic ecml edition efficient estimation european exploitation exploration final fitted free function game gatsby general gives global goals gordon hanks hierarchical http ieee information institute intelligence international interval irreducible israel john joint journal kakade kearns langford lazaric leap learning leverage linear littman logarithmic london machine mannor markov master mathematics mdps menache model moore multi multiagent multidimensional multigrid munos near neural neuroscience nips oneway online operations optimal optimistic ortner pages parti planning polynomial proceedings processes processing programming programs puterman qiteration references region regret reinforcement research resolution restelli sample scientific shimkin singh sons space spaces state stochastic strehl structural systems szepesvari technion technology tennenholtz tewari theoretic theoretical thesis third time tradeoff transactions tsitsiklis undiscounted unit university variable whitt wiewiora wiley with york
http://colt2008.cs.helsinki.fi/papers/78-Blais.pdf	21	Polynomial regression under arbitrary product distributions	adam agnostic agnostically anova applications arxiv aspects assumption asymptotic asymptotically bartlett basis benjamini boolean bounds circuits class combinations comm comp comparisons computational computing conditional constant corinna cortes course decompositions degree depth differentiable discrete distribution distributions domains donnell efficient efron elchanan estimates feldman foundations fourier functions furst gatech gaussians guruswami halfspaces hardness hastad hoeffding http ieee ihes improved including inequality influences intersections invariance itai jackknife jackson jeffrey jonathan journal kalai karlin kearns kkms klivans krzysztof learnability learnable learning lectures leslie linda linear linial machine majority mansour marvin math merrick michael minsky mises mixtures mossel nathan networks nisan noam noise nonsymmetric normal notes oded oleszkiewicz optimality over pages papert perceptrons percolation peres peter polynomial prasad press proc product publ raghavendra references richard rinott robert rocco ryan samuel schapire schramm sean sellie sensitivity separation servedio sharpening slight smith stability stat statistical statistics steele stein supportvector symour symp teaching theory thesis threshold thresholds toward transform type valiant vapnik variance venkatesan vladimir wassily weighted williamson with workshop yishay yosef
http://colt2008.cs.helsinki.fi/papers/48-Ishibashi.pdf	6	Online Learning of Approximate Maximum p-Norm Margin Classifiers with Bias	abound active adaptive adatron advances algorithm algorithms analysis anlauf annals annual anthony anual approximate arbitrary artificial asuncion attributes auer automata available bartlett bauschke bhattacharyya bianchi biehl boosting bordes boser bottou bounds boyd brain brooklyn burges california cambridge campbell cesa chang cjlin classification classifier classifiers combettes computational computer conference controlled convergence convex cortes cristianini csie data datadependent design discovery discriminant discrimination editor editors effectiveness entropy ertekin estimated europhysics explanation fast fejer frank freund friess games general gentile girosi gradient grove guyon hierarchies hilbelt html http ieee improved infor information input institute intelligence international introduction irrelevant irvine iterative joachims journal keerthi kernel kernels kivinen knowledge kowalczyk large learning leon letters library libsvm linear littlestone logarithmic long lugosi machine machines making mangasarian margin mathematical mathematics mation maximal maximum methods minimal minimization mining minsky mistake mistakes mlearn mlrepository model monotone murthy nearest networks neural newman nnsp norm novikoff number online operations optimal optimization organization osuna over pages papert pegasos perceptron perceptrons plane platt point polytechnic practical prediction press primal princeton principle probabilistic procedure proceedings processing proofs psychological quickly references relaxed relevant repository research results review risk robustness rockafellar rosenblatt rules scale schapire scholkopf school schuurmans sciences separating sequential shalev shawe shevade shwartz signal simple singer smola software solver spaces srebro statistics storage strong structural support svms symposium systems taylor tenth theory threshold time training transactions tsampouka university updates using vandenberghe vapnik variables vector versus volume voting warmuth weak weston when williamson winnow with workshop
http://colt2008.cs.helsinki.fi/papers/26-Shwartz.pdf	33	On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms	adaboost adaptive advanced advances algorithm algorithms analysis annals annual appear applications approach approximation artificial assume australian bartlett baxter best boost boosting borwein bounds boyd bregman bundle cambridge censor certain claim classification classifiers clearly collins combined computational conference conjugate constant convex corrective cristianini daubechies denison deparment direct distances domingo dual duality editors effectiveness efficient engineering error estimation exists explanation fact fenchel first follows fourteenth freund from function functions game games generalization gesellschaftsspiele glocer greedy hansen have hebrew herbster holds holmes ieee improves induction inequality information intelligence international introduction japanese jonathan journal july koltchinskii label learnability learning lectures lemma leveraging lewis liao linear llew logistic lozano machine machines madaboost majority malicious mallick margin margins mason math maximize maximizing meir mendelson methods modification national neumann neural neurocolt ninth noise nonlinear online onto optimization overview oxford pages panchenko parallel parlor perspective peter polyhedra prediction predictor press primal problems proceedings processing projections proof prove proves ranking ratsch references regression repeated report research rudin schapire scholkopf second sequence sequential servedio sfbl shalev shawe short shwartz singer smola smooth society soft some springer sswb statistics strength such support systems taylor technical that then theorie theory there thesis thirteenth this totally tracking transaction university using vandenberghe vector version vishwanathan voting warmuth watanabe weak williamson with york zenios zhang
http://colt2008.cs.helsinki.fi/papers/111-Abernethy.pdf	42	Optimal Strategies and Minimax Lower Bounds for Online Convex Games	above achieving adam adaptive advances agarwal alexander algorithms amit annual ascent attained bartlett best bianchi cambridge cesa colt competitive computational conference constants convex cost cover density derivative descent duality editors eiji elad equal equality erik estimation expression fact fenchel finance francisco functions gabor games gaussian generalized gradient hazan hence hindsight hoffman icml infinitesimal information interested january kalai kale kaufmann koller learning lemma line linear logarithmic lugosi manfred martin math mathematical minimax more morgan neural nicolo nips obtain online oper optimization ordentlich over pages peated peter platt portfolio portfolios prediction press proceedings processing programming proof proving publishers rakhlin references regression regret roweis satyen scholkopf setting shai shalev shwartz since singer statement strategy supremum systems takimoto taking than that theory these thirteenth thomas universal university variables vovk warmuth yoram zero zinkevich
http://colt2008.cs.helsinki.fi/papers/125-Zilles.pdf	13	Teaching Dimensions Based on Cooperative Learning	abcs active angluin annual anthony artif asking avoiding balbach being berlin black boxes brightwell coding cohen colt commun complexity comput computational conference david dimension dimensions directed eiron exact examples faster frank freivalds from generalized generation goldman good hanneke hegedus hyperrobust inductive inference intell interactive jackson kearns kinber krikis lange languages learnable learner learners learning lncs machine math mathias matthias measuring miyano model nessel pages power proc query questions recursive references relation rivest self shawe shinohara smarter specification springer stephan syst taught taylor teachability teacher teachers teaching than theoret theory tomkins tricks using valiant variants wiehagen workshop york
http://colt2008.cs.helsinki.fi/papers/106-Caramanis.pdf	47	Learning in the Limit with Adversarial Disturbances	above academic adversarial adversary against agnostic algorithm algorithmic allows also annals appendix approach auer august available axes bayesian beyond bianchi boosting bshouty caramanis case cbdf cesa characterized classifier classifiers closure cmcaram complex computational computer computing considers consistent contribution data decision decisionmaker decreases developing dichterman discussion disturbance easily efficient eiron error errors example expected extending figure finding first fischer flip framework from function game generalization good graph grows here http incurred information instead interest introduction journal kearns kluwer kushilevitz laird learing learning letters limit linda line linear linearly machine main maker malicious mannor mathematics measure michael minimizing monotonic more move nasty nemirovski noise norwell note online operations optimal optimization over pages plays policy possibility possible posterior powerful presence prior problem programs publishers pubs range rational references research respect right robert robust robustlearningonlineapp same sampleefficient schapire science sellie servedio setup setups shamir show shows siam simon smooth solutions solved soon step strategies sublinearly such takes terms that theoretic theoretical theory this toward tractable true ulrich uncertain underlying users utexas view where with work worst
http://colt2008.cs.helsinki.fi/papers/92-Ben-David.pdf	2	Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning	alexander alon angluin annual anthony applications augmented avrim balcan bartlett benedek bern bernhard blum bounds cambridge chapelle chapter classifiers claudio cohen colt combining complexity computer conference cozman dana data david degrade distributions dmitry editors examples fabio fixed florina foundations from generative gentile gyora hard helmbold improved itai january labeled laird learnability learning lower machine maria martin mitchell model network neural noisy olivier pages pechyony performance peter philip press proceedings rademacher references respect risks sata scholkopf science semi semisupervised september springer stable style supervised theoretical theory training transductive university unlabeled with yaniv zien
http://colt2008.cs.helsinki.fi/papers/9-Shamir.pdf	38	Model Selection and Stability in k -means Clustering	able about above accords advances also american amples analysis analyzed andre annals annual appear applications appropriate approximation arbitrarily argument asymptotic asymptotics based behave behavior bernoulli between bility binomial biocomputing biology bogachev braun break buhmann cambridge case cautionary central chapter characterize charles choice choosing cism close cluster clustered clustering clusterings clusters combining communication computation computational concluded conclusions conditions conference convergence convex correct courses cross data dataset david different dilatations dimensional discovering discussed distance distribution does domany down draw drawing dudoit easily elisseeff empirical enough equal erel estimating estimation event events example explicitly eytan factors finally finite formula framework fridlyand from future gaussian genome gideon green guyon gyorfi half have hierarchical holds horn however illustrated imply independent inequalities influencing information internal isabelle joachim johnson june krieger krzysztof lange large learning least lecture less levine limit linder look luxburg made many mathematical matrix means measures method methods might mikio milman model more multivariate naftali neural nineteenth nonparametric nonstandard normal normed note notes november number observations occurs ohad oleszkiewicz over pacific pages paper personal peter pollard prediction preliminary press principles probability probam proceedings processes processing proven psychometrika quantization radchenko rafallatala rate reasonable references regime required requirements resampling roger roth sample samples schechtman second select sets shai shamir show situations size slud small sober society solutions some sometimes spaces springer stability standard statistics straightforward structure subsection success successfully symmetric symposium systems than that then theorem theoretic theory these thesis they this tilman tishby tong trials ulrike under unexpectedly uniformly university unsupervised using vaart validation validity value values vector verlag vitali volker weak wellner were whose with work working yale york
http://colt2008.cs.helsinki.fi/papers/45-Slivkins.pdf	36	Adapting to a Changing Environment: the Brownian Restless Bandits	above absolute acquiring activity actual adaptive advances adversary against agarwal algorithm algorithmic algorithms allocation allow always amer amin analysis annals anytime appealing appeared appendix appl applied approach approaches approximation armed arms arxiv aspects assume asymptotically auctions auer austensmith available average averages awerbuch azumatype bandit bandits banks based beat berry bertsimas bianchi blum body boston both bound boundary bounded bounds branching bull business called cases cesa chain chakrabarti changing chapman chapter chapters choice coincides colt comparable complexity comput computer computing condition conf conference confidence conservation consider constant continuumarmed contribution control convergence convex cost curve dani data decision decisions define defined demand derivation derivations descent design deterministic direction discrete discuss discussed discussion distinct distributed distribution dual duggan dynamic each editor editors efficient engng essays esseen essentially establish evolves exactly except exists experiments exploitation exploration extend extended extension fails feedback find finite first fischer fixed flaxman focs following foundations freund fristedt from full fundamental further general generality generalization generalized geometric gittins gradient greedy guarantee guarantees guha hall hand have hayes heidari heuristic high holland honor http icml ieee ifip ignore illuminating independent index indexability indices inequality infimum infinite inform information informed instead interval intervals intl jeffrey john jones josifovski kalai kleinberg knowing large latter laws learning leighton lemma length less linear little load looks loss machine main mannor markov markovian mason math mathematical mathematics mcmahan mean mining model modification moment mora more moreover multi multiarmed multiplied munagala neammanee nearly needed network networking neural nino nips nonstochastic nonuniform normal north notation note offs omit online only oper operations optimal optimization other pages pandey papadimitriou paper partial performance phase plify policies polyhedral polymatroids posted precisely preliminary present price primal prob probab probability problem problems processes processing programming progress proof properties quantities queueing random rather reasonable reasonably recall recover references regret reinforcement relaxations report research respective respectively restless restriction results rewards right robability robbing robbins rosenthal routing rules same schapire school science sciences section sequential sets setting shared short siam side smallest social soda some somewhat sons specifically springer state statist statistics steady stern stoc stochastic stochastically strategic strategy structure studies such sundaram support symp systems tackle taxonomies technical tedious term terms that them then theorem theory there thesis third this tight time tool trade tsitsiklis unified uniform upper using value vari variance version volatility weaker weight weights weiss welfare what when where which whittle wiley with without work working world zero
http://colt2008.cs.helsinki.fi/papers/76-Sellie.pdf	20	Learning Random Monotone DNF Under the Uniform Distribution	access aizenstein algebraic algorithm also angluin annual another appendix apply applying approximate approximating approximation argument arguments artificial associated assume average away behaved being berkeley bility both bound bounded bounding bounds builds calculate calculations cannot canny case cases chance chernoff choose chosen close colloquium combining communications completeness complexity computation computational compute computer computing concept conference conjunctions consequently consistent constant corollaries corollary correctly could counting crucial decision define definition described determine different differs difficulty discovers disjoint disjunctions disjunctive distinguishing distribution distributions distributon divide does donnell drawn each efficient efficiently either electronic elements enough entire equal esample estimate even every exai exame examples exist exists expanding expect expected exponent expression expressions extension figure figures finally find finding finds first fixed following follows form formula formulas found fourth frac fraction from function functions generated give given greater grows have having high hold holds ideas increases independent independently indicator inequality information inside instead integer intelligence international into isample items iteration iterations ithan jackson joint journal juntas kfor know labeled large last learn learnability learnable learning least lecs lecture lemma lemmas less linear logdepth lognog looking loop lower machine main math maximized medium membership method mmax monotone more mossel most multiplying ncgs negative next nlog normal note notes noticing noting nthen number obse observa observation observations observe observing observmtio obtain odds only outside overcome overlap overlapping overlaps pages paper pitt ples poisson polynomial positive pree present previous proba probability probawith proceedings produces product programming proof proofs property prove proved proven provided proving quasi queries query random randomly recalling references referring remember remembering report respect respective restate result return returns reven rodd runs sake sample sampled samples sampling satisfied satisfies satisfy sciences second section sections seen selected selects separately series servedio sets share show siam similar similarly similary simplex simplifications simplified since size sized smale small standard state states step steps stoc straightforward subsection subset subsets substian such sufficient sufficiently summand system tail takes tdisjoint term terms testing tests than that their then theorem theorems theory there therefore these they third this those three thus till time tion tnot together total trees trials tsmall tution under unfortunately uniform uniformly uniquely uniqueness unknown unnegated upon upper useful uses using valiant value values variable variables vation verbeurgt very ways well where which will with within workshop xeven xodd zero
http://colt2008.cs.helsinki.fi/papers/67-Greenwald.pdf	27	More Efficient Internal-Regret-Minimizing Algorithms	acbfs acknowledgments adaptive after algorithm algorithms allied already also always amitabha analyze annual another appear application arguments arithmetic around artificial assistance associated associating assume auer average back bandit bars behaves behavior benthem bernoulli between bianchi blum body boosting bound bounded bounds cahn calibrated call cambridge casey catches cesa chain chapter charlie check chernoff choices class close clrs code coin colell column computation computational computer computing concludes conclusion condition conferences confidence confused connection contained coppersmith cormen correlated corresponds could coupling couplings create crossroads current dean decemb decide decides decision decisiontheoretic define defined definition denote desired distance distributed distributiions distribution distributions does drunkenly each easily easy econometrica economic edition editors element elimination equal equation equilibria equilibrium eric event ever every exactly exists experiments exponentially extended external fact figure figures finish first flip flips followed following follows formally foster freund from function game games gaussian general generalization geoi geometric geometrically gjmar good grateful greenwald gupta happening hart have high hinges holds however identical ignore independent independently index inductively information initial intel interdisciplinary internal international interval into introduction intuitively iteration jafari johan jority journal june just know language later leading learning least leave leaves lectures left leiserson lemma lemmas less ligence like likely limits lindvall line littlestone logic look lugosi machine main makes manner mansour markov marks matching math mathematics matrix mean meanings measures method metrically minimizing minimum more most motions motivating much multiarmed multiplication multiplied multithreaded must natural need neighborhood next nineteenth ninth nonstochastic note number numer obtain optimal order originally other otherwise over oxford pacuit pages pairwise paper path peres perhaps playing possible potentialbased power prediction present press probabilistic probability problem procedure procedures proceedings progressions proof prove proved providing publishers question quite random recast references regret relating remaining remark research reuses rivest rounds runs same satisfying schapire sciences seen self shapley shifted should show shown shows siam similar similarly simple simplicity simplifying solution some space special standard starts state stein step steps stoc stochastic story strassen strategic strategies such suffices suggesting summary supp supported switches symmetric symposium system takes technical than that their then theoretic theory there therefore this those thus time torgny total trace transition trivially unique university unlikely unrelated usually valued variable variables variation vector vectors view visit vohra volker volume walk walking want warmuth weighted what where whether which while wiley winograd with write york young yuval
http://colt2008.cs.helsinki.fi/papers/38-Singh.pdf	49	Adaptive Hausdorff Estimation of Density Level Sets	abstract adaptation adaptive algorithms analysis analyzing anomaly applications approach arxiv aust available bandwidth based candes casal cavalier citebase class classification cluster clustering combinatorial concentrations consistency contour convergence cost cuevas curvelets curves data davenport density dept depth descriptive detection devroye dohono donoho edges effective england estimates estimating estimation estimators excess falconer fast foundations fractal framework general geometry graphics hartigan hausdorff http hush ieee image inference inhomogeneous kernel korostelev larry learn learning lepski level lugosi mach madison mammen manteiga mass math mathematical measuring methods minimal minimax minimum multivariate nashville nearly nonadaptive nonparametric nowak objects optimal parelius philippe plug polonik press prisingly proc process rates reconstruction references regis regression related report representation rigollet sample schumaker scott scovel selectors sensitive sets signal singh smoothness spanning spatial spokoiny springer stat statist statistics steinwart stuetzle surfaces sussex svms technical theory trans tree tsybakov university vanderbilt variable vert volume wedgelets west wiley willett wisc wisconsin with
http://colt2008.cs.helsinki.fi/papers/107-Cavallanti.pdf	28	Linear Algorithms for Online Multitask Classification	advances advice algebra algorithm algorithms amai analysis applications approach artificial bounds bregman calculus california cambridge classes classification colt complexity computational computing continuous convergence convex cruz data density descent differential discrete discriminant distributions econometrics edition efficient electr electronic estimation expert exponential exponentiated family feature framework from functions games general gradient graphs handbook http icml intelligence international invariant jmlr john journal kernel large learning least line linear linearthreshold logarithmic loss machine machines margin mathematics matrix methods minimization mistake multi multidimensional multiple multitask networks nips nonlinear norm online order over perceptron prediction predictive press princeton problems proc projection rademacher references regression regularised regularization regularized relative results revised robustness rutcor rutgers santa second semi shared siam spectral springer squares statistics structure structures subspaces supervised support symposium task tasks thesis time topics unitarily university unlabeled updates using variance vector views wiley winnowing with workshop
http://colt2008.cs.helsinki.fi/papers/123-Abernethy.pdf	29	Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization	above abraham adam adaptive advances adversary against algorithm algorithms amer analysis annual applications applied approaches argmin ascent aspects assumption auer avrim awerbuch bandit bartlett baruch being bianchi blum boundary bounded bounds brendan bull cambridge cesa choice close closeness colt combining comput computation computer computing conclude consider convex correction corresponding dani decision definition denote descent design diameter dikin discrete distance distances distributed editors efficient eigenvalues eiji ellipsoid engineering enough equation experiments exponentiated facts feder feedback flaxman follows freund from gabor games generalized geometric gradient graduate gutman have hayes helmbold herbert high holds icml ieee implies indeed individual industrial inequality infinitesimal information interior intersects inverse journal jyrki kakade kalai kernels kivinen kleinberg koller large last learn learning lecture lectures lecure lemma less line linear littlestone local loss lugosi mach majority manfred martin math mathematics mcmahan meir merhav methods michael modern moreover multiarmed multiplicative nemirovski nemirovskii neri nesterov networks neural neurons nick nicolo nonstochastic note notes november observe online optimization over pages path perspective peter philadelphia platt point polynomial prediction predictors press price primaldual probability problem problems proceedings processing programming proof proofs radii rakhlin realize references regret relative robbing robbins robert roots routing roweis same santosh satisfies satish schapire sciences segment sequences sequential series setting seventeenth shai shalev sham shwartz siam since singer single sixteenth sixth society soda some square stoc submission subtracting summing symposium system systems takimoto tauman tewari that theory thirty this thomas thus time together transactions universal university updates using varsha vempala versus very volume warmuth weighted well which with without yoav yoram york zinkevich
http://colt2008.cs.helsinki.fi/papers/30-Bartlett.pdf	35	High-Probability Regret Bounds for Bandit Online Linear Optimization	abernethy adam adaptive advances adversary against alexander algorithm algorithms andras annals annual appear approaches auer awerbuch bandit baruch bianchi bounds cambridge cesa claudio colt competing competitive computer computing conference dani dark david decision discrete distributed editors efficient elad feedback freedman freund gabor games gentile geometric gyorgy hayes hazan herb holmer ieee improved infocom information jacob journal kakade kalai kleinberg koller learning less linder line linear lugosi machine martingales monitoring multiarmed neural nicolo nips nonstochastic online optimization ottucsak pages partial path peter platt prediction press price probabilities probability problem problems proceedings processing provably rakhlin references regret research risk robbing robert routing roweis rubens santosh schapire sciences sham shortest siam singer soda stoc stochastic symposium system systems tail tamas theory thomas transactions under university varsha vempala volume with yoav
http://colt2008.cs.helsinki.fi/papers/121-Abernethy.pdf	44	Optimal Strategies from Random Walks	abernethy acad advice algorithm annual bianchi binning cbfh cbfhw cesa colt conference continuous conversion david erdos evolution expert experts freund graphs haussler helmbold hung inst june langford learning line machine manfred math nicolo pages prediction proceedings publ random references renyi robert schapire springer strategies theory warmuth yaov
http://colt2008.cs.helsinki.fi/papers/21-Zakai.pdf	23	How Local Should a Learning Method Be?	advances algorithms almost american annals artificial association atkeson available bartlett bell bengio bottou bounds cambridge citeseer classification cleveland computation consistency convergence convexity curse delalleau devroye dgkl estimates everywhere function functions gyorfi highly hill html http information intelligence jordan journal kernel krzyzak laboratories learning loader local locally lugosi machines mcauliffe methods moore murray nearest neighbor neural nonparametric pages press principles processing references regression report review risk roux schaal smoothing statistical statistics strong systems technical universal vapnik variable weighted
http://colt2008.cs.helsinki.fi/papers/124-Choi.pdf	12	Almost Tight Upper Bound for Finding Fourier Coefficients of Bounded Pseudo-Boolean Functions	academic adaptation adaptive addison additive additively advances algorithm algorithmic algorithmica algorithms alon american angluin annals annual apaydin appear applications asodi asymptotic automata based basis bauer bayesian beigel bioinformatics biology bonet boolean bornberg bounds bouvel brief bshouty cambridge cantu change chen chernoff choi clack closed closing coffin colloquium colt columbia combinatorial combinatory complete complexity composability computation computational computations computer computing concepts conference construction counting dbiv decision decomposed densities detection directly discovery discrete distributed distribution edge editor editors efficiency efficient epistasis estimating estimation evolution evolutionary ewens expression fast fifth finding fitness focs focus folding fontana fortnow foundations fourier franklin from fsbb functions garey gecco gene general genetic genetics genome glinc goldberg graph graphs graphtheoretic grebinski griesmacher group groups harik heckendorn hidden hierarchical hofacker hypergraph hypothesis icalp identifying ieee information international isbell jackson johnson journal jung kargupta kasif kauffman kaufmann kluwer kucherov kushilevitz landscapes languages learning lectures levin lewontin limited linkage lower machine macken mahnig mansour matching mathematical mathematics measure membership mimic model models molecular monotone monotonicity moon more morgan motivated motwani muhlenbein munetomo national networks neural nonlinearity observations optima optimal optimization optimizing order origins orlitsky orthogonal oxford pages park pelikan perelson perturbation pgcp physical population predicting press probabilistic probability probing problem problems procedure proceedings processing programming protein queries query raghavan randomized recomb reconstruction references representation research respect review reyzin roychowdhury rudich rugged scalable schuster science sciences search selection selforganization separable sequencing shotgun siam simplified solving some space spectrum springer srivastava stadler statistics stein stoc stockmeyer streeter subgraph sudakov survey symposium system systems tacker tamon tarazona tests theoretical theory time toward towards trans transform trees under unified uniform unit university upper using verifying verlag viola volume walks walsh weinberger wesley whitley whole with workshop wright
http://colt2008.cs.helsinki.fi/papers/82-Koolen.pdf	30	Combining Expert Advice Efficiently	academic advances advice algorithms amounts annual appear applications approach arxiv asymptotic average averaging barron bayes best between biological bousquet case catching chosen codeword coding colt combination combined combining compression conclusion conference constructed correlations current cybernetics data dawid derandomizing directly distribution distributions early efficiency efficiently elias employed erven every evolution evolve expected expert experts explicit faster finite followed follows formulate from gambling generally goal grunwald herbster hidden hmms ieee infinite information institute integers introduced issue jaakkola joint journal kluwer koolen learning length limn line machine marginalising markov minimax mixture model models moffat monteleoni naturally neural nips note notion occur online optimal otherwise over pages paper parameter paramount part perform planck possible prediction predictions preferable prequential prior priors probability proceedings processing publishers rabiner reasons recognition references regret report representations rooij royal running sample samples seek selected selection sequence sequences series sets shifting size snowbird society source specify speech state stateto stationary statistical stochastic strategies switch switches switching systems taking technical temporal that then theorem theory this time tracking trajectory transactions tuning tutorial universal used utah volf volume vovk warmuth weighted weights well which willems with
http://colt2008.cs.helsinki.fi/papers/94-Sridharan.pdf	41	An Information Theoretic Framework for Multi-view Learning	abney above again aiming algorithm also american annual applicable applying argmin association assume assuming assumption assumptions average avrim balcan bartlett basis bayes because blum both bounded bounds brefeld case chain class classification clip colt combining comput computational concave conclude conference consider contained convex convexity coordinates corollary correlation corresponding data dataset define defined definition derivative differentiable directly distance divergence each efficient eleventh equal equation essentially establish establishes even example exists expectation expected fact finally find first fixed florina form from func function further gartner generality given greater have hence however icml identity imizer imply incompatibility increasing inequalities inequality info international isbn issn ithresh itresh jensen joint jordan journal labeled last learning least left lemma lemmas linguist live loss machine maria mcauliffe measures michael minc minimizer minimizes mitchell model monotonically need needs note notice noting once only open order ordinates otherwise ourselves over owever pages pair pairs paper part peter pinsker predictor predictors press probability problems proceedings proj projection proof proofs proving putting references regression regret regularised regularization regularized relaxed required respect rest restrict result returned right risk rkhs root rosenberg rule sample samples satisfied satisfies scheffer second semi semisupervised setting sides similarly since solution some specific square squared squares state statement statistical stefan step steven style such supervised taking taylor term than that their then theorem theory there therefore this thomas thresh threshold thus tion tobias together training transductive triangle twice understanding unlabeled used using values variational volume were when where will with without write wrobel yarowsky york zero
http://colt2008.cs.helsinki.fi/papers/Gopalan-open-question.pdf	16	A Query Algorithm for Agnostically Learning DNF?	adamology agnostic agnostically algorithm american austin available blog computer computing conjecture decision distribution efficient entropy entropyinfluence every foundations fourier friedgut georgia gmail gopalan graph halfspaces http ieee influence jackson journal kalai kearns klivans kushilevitz learning machine mansour mathematical membership monotone nlog parik post proceedings property query references respect schapire science sciences sellie servedio sharp siam society spectrum symp system tech terrytao texas theory threshold toward trees under uniform university using utexas washington with wordpress
http://colt2008.cs.helsinki.fi/papers/7-Chaudhuri.pdf	0	Learning Mixtures of Product Distributions using Correlations and Independence	accurate achlioptas acoustics algorithm algorithms allocation analysis annual applications approach approximation arbitrary arora artificial assumptions basford basis berkeley blei blum california canonical chaudhuri chrz cience clustering collaborative colt combining communications computational computations computer computing concentration conference correlation dasgupta data dekker dempster detect dhks dirichlet discrete discussion distributions domains donnell donnelly draft dubhashi eecs efficient eran estimating feldman filtering finite focs foster foundations freund frey from function functions gaussian gaussians general genetics genotype golub graphbased halperin heavytailed hopcroft hopkins icassp identification ieee incomplete inference information intelligence international january johns jordan journal june kakade kannan kaufmann kleinberg kristjansson labeled laird latent learning least likelihood limited linear lloyd loan machine makov mansour marcel mark matrix maximum mclachlan mcsherry measure method mitchell mixture mixtures models morgan multi multilocus noise over pages panconesi population press pritchard proc proceedings processing product publishers quantization randomised recognition recomb references regression research reynolds rigorous robust round royal rubin salmasian sandler satish schulman science separation servedio siam signal sixteenth smith society speaker spectral speech squares sridhar srinath statistical stephens stoc stratification structure substructure symposium theory thesis titterington training trans uncertainty university unlabeled using variant vempala verification view volume wang wiley with workshop zhou
http://colt2008.cs.helsinki.fi/papers/Feldman-open-question.pdf	15	The Learning Power of Evolution	algorithms appear decision efficient evolvability evolving feldman from journal kearns learning lists manuscript michael noise proceedings queries references statistical stoc tolerant valiant
http://colt2008.cs.helsinki.fi/papers/83-Khot.pdf	7	Minimizing Wide Range Regret with Time Selection Functions	advice algorithm algorithmic annual approximation asymptotic avrim bayes behavior bianchi biometrika blum bounds calibration cambridge cbfh cbms cesa chapter colt combining comput computing contributions david dean dresher economic editors ehud equilibria expert external foster freund from fssw gabor game games gilles hannan haussler helmbold improved internal learn learning lehrer line littlestone lugosi mach majority manfred mansour minimization nick nicolo ninth nisan noam order pages plays portfolio prediction predictors press princeton proceedings rakesh range references regret repeated risk robert roughgarden schapire second selection singer specialize stoc stoltz symposium tardos that theorem theory tucker twenty university using vazirani vijay vohra volume warmuth weighted wide with wolfe yishay yoav yoram