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