Courses
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STCS 8401: Field experiments, machine learning, and causality, Spring 2024
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STCS 6701: Probabilistic models and machine learning, Fall 2023
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STAT 8101: Applied causality, Spring 2023
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STCS 6701: Probabilistic models and machine learning, Fall 2022
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STAT 8101: Applied causality, Spring 2022
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STCS 6701: Foundations of graphical models, Fall 2020
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STCS 8101: Representation learning: A probabilistic perspective, Spring 2020
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STCS 6701: Foundations of graphical models, Fall 2019
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STAT 8101: Applied causality, Spring 2019
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STCS 6701: Foundations of graphical models, Fall 2018
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STAT/CS 8101: Applied causality, Spring 2017
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STAT/CS 6701: Foundations of graphical models, Fall 2016
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STAT/CS 6998-4: Probabilistic models of discrete data, Spring 2016
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STAT/CS 6509: Foundations of graphical models, Fall 2015
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STAT/CS 6998-4: Truth in data, Spring 2015
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STAT/CS 6509: Foundations of graphical models, Fall 2014
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COS424: Interacting with data, Spring 2014
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COS597A: Advanced methods in probabilistic modeling, Fall 2013
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COS424: Interacting with data, Spring 2012
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COS597C: Advanced methods in probabilistic modeling, Fall 2011
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COS513: Foundations of probabilistic modeling, Fall 2010
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COS597A: Truth in data, Fall 2009
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COS513: Foundations of probabilistic modeling, Spring 2009
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COS424: Interacting with data, Spring 2008
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COS597C: Bayesian nonparametrics, Fall 2007
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COS424: Interacting with data, Spring 2007
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COS402: Introduction to artificial intelligence, Fall 2006
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COS598C: Approximate inference in graphical models, Spring 2006