Wei Ping
PhD, Fall 2016
Thesis, "Learning and Inference in Latent Variable Graphical Models".

Sholeh Forouzan
PhD, Fall 2015
Thesis, "Approximate Inference in Graphical Models".

David Keator
PhD, Spring 2015
Thesis, "Probabilistic Models for Brain Image Collection, Classification and Functional Connectivity".

Qiang Liu
PhD, Fall 2014
Thesis, "Reasoning and Decisions in Probabilistic Graphical Models - A Unified Framework".

Andrew Gelfand
PhD, Spring 2014
Thesis, "Bottom-Up Approaches to Approximate Inference and Learning in Discrete Graphical Models".

Drew Frank
PhD, Spring 2013
Thesis, "Variational Message-Passing: Extension to Continuous Variables and Applications in Multi-target Tracking".

Ozgur Sumer
PhD, U Chicago, 2011 (unofficial advisor)
Thesis, "Adaptive Inference for Graphical Models".

Jon Hutchins
PhD, Fall 2010
Thesis, "Probabilistic Learning for Analysis of Sensor-Based Human Activity Data".

Priya Venkateshan
MS, Spring 2011
Thesis, "Graphical models for entity coreference resolution".

Sidharth Shekhar
MS, Spring 2009
Thesis, "Fixing and extending the Multiplicative Approximation Scheme".