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Courses I have taught (or will teach) are below:

SemCourseTitleTopics
S 2024 CMSC 116 You and I, and Generative AI
F 2023 CMSC 828I Trustworthy Machine Learning Robustness, uncertainty, transparency, fairness, etc.
S 2023 CMSC 421 Artificial Intelligence Reinforcement learning, belief networks
F 2022 CMSC 848C Human-AI Interaction How to design, build, and evaluate AI systems that interact with people
F 2021 CMSC 828Z Just Machine Learning Connecting machine learning with theories of justice, rights, and equity
F 2019 CMSC 723 Computational Linguistics I Knowledge from language, and of language
F 2016 CMSC 421 Artificial Intelligence Reinforcement learning, belief networks
F 2016 CMSC 828 Reinforcement Learning Everything there is to know! :)
S 2016 CMSC 726 Machine Learning Advanced topic in machine learning theory and practice
F 2015 CMSC 422 Machine Learning Undergraduate, supervised, unsupervised and imitation learning
F 2014 CMSC 723 Computational Linguistics Morphology, syntax, semantics, discourse
S 2014 CMSC 818 Linguistic Prediction (aka "Bayes in the brain") understanding linguistic prediction: how the brain does it, and how to model it computationally
S 2013 CMSC 422 Machine Learning Undergraduate, supervised and unsupervised learning
S 2013 CMSC 828 CL Seminar in Bayesian Nonparametrics Nonparametric models, inference methods and applications
F 2012 CMSC 723 Computational Linguistics Morphology, syntax, semantics, discourse
S 2012 CMSC 421 Artificial Intelligence Reinforcement learning, belief networks
F 2011 CMSC 726 Machine Learning Supervised and unsupervised learning
F 2011 CMSC 828F Multilingual Modeling Modeling and statistics for multilingual analysis/processing
F 2010 CMSC 723 Computational Linguistics Syntax, semantics, discourse, learning
S 2010 CS 5300 Artificial Intelligence Reinforcement learning, belief networks
S 2010 CS 7941 Topics in ML Structured prediction
F 2009 CS 5350 Machine Learning Supervised and unsupervised learning
F 2009 CS 7941 Topics in ML TBD
M 2009 CS 7941 Topics in ML Assorted recent results
S 2009 CS 5300 Artificial Intelligence Reinforcement learning, belief networks
S 2009 CS 7941 Topics in ML Theoretical machine learning
F 2008 CS 5350 Machine Learning Supervised and unsupervised learning
F 2008 CS 7941 Topics in ML Graphical models
M 2008 CS 7941 Topics in ML Multitask learning
S 2008 CS 5350 Machine Learning Supervised and unsupervised learning, reinforcement learning
S 2008 CS 7941 Topics in ML Kernel methods
F 2007 CS 5964 Applications of NLP Sequence models of text, machine translation, automatic document summarization
F 2007 CS 7941 Topics in ML Non-parametric Bayesian methods
M 2007 CS 7941 Topics in ML Manifold learning
S 2007 CS 5350 Machine Learning Supervised and unsupervised learning, structured prediction, Bayesian learning


credits: design and font inspired by Seth Able's LoRD, some images converted to ANSI using ManyTools, original drawing of me by anonymous.
last updated on twenty eight january, two thousand twenty four.