Andrew Guillory
Computer Science PhD Graduate
University of Washington
guillory at

About Me

I recieved a computer science PhD from the Unversity of Washington in the Spring of 2012. My dissertation research was in machine learning, specifically active learning and its connections to submodularity. My advisor was Jeff Bilmes. I received an NSF fellowship and an ARCS Foundation fellowship. I spent the summer of 2009 working at MSR with Sumit Basu and Dan Morris and the summer of 2007 working at Live Labs with Michael Revow. In the summer of 2011 I worked with Amarnag Subramanya at Google Research.

Before graduate school I was an undergraduate at Georgia Tech where I did work with Tucker Balch, Charles Isbell, and Alexander Gray.


If you are interested in my work on active learning and submodular optimization, my dissertation compiles together results from the NIPS 2011, UAI 2011, ICML 2011, ICML 2010, and NIPS 2009 papers. It contains several new results, expanded proofs, and corrections.

A. Guillory. Active Learning and Submodular Functions PhD Dissertation PDF

A.P. Singh, A. Guillory, J. Bilmes. On Bisubmodular Maximization The Fifteenth International Conference on Artificial Intelligence and Statistics (AIStats 2012). PDF

A. Guillory, J. Bilmes. Online Submodular Set Cover, Ranking, and Repeated Active Learning The Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011). PDF

A. Guillory, J. Bilmes. Active Semi-Supervised Learning using Submodular Functions The Twenty-Seventh Conference on Uncertainty in Artifical Intelligence (UAI 2011) PDF

A. Guillory, J. Bilmes. Simultaneous Learning and Covering with Adversarial Noise The Twenty-Eighth International Conference on Machine Learning (ICML 2011). PDF Website. Earlier Workshop Version appeared at the NIPS 2010 Workshop on Discrete Optimization in Machine Learning

A. Guillory, J. Bilmes. Interactive Submodular Set Cover The Twenty-Seventh International Conference on Machine Learning (ICML 2010) PDF Longer Tech Report: UWEETR-2010-0001. PDF

A. Guillory, S. Basu, D. Morris. User-Specific Learning for Recognizing a Singer's Intended Pitch The Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2010). PDF Website

A. Guillory, J. Bilmes. Label Selection on Graphs The Twenty-Third Annual Conference on Neural Information Processing Systems (NIPS 2009). PDF Supplementary Material: PDF

A. Guillory, J. Bilmes. Average-Case Active Learning with Costs The Twentieth International Conference on Algorithmic Learning Theory (ALT 2009). PDF Longer Tech Report: UWEETR-2009-0005. PDF

A. Guillory, E. Chastain, J. Bilmes. Active Learning as Non-Convex Optimization The Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009). PDF

A. Guillory, J. Bilmes. Practical Methods for Exploiting Bounds on Change in the Margin The Tenth International Symposium on Artificial Intelligence and Mathematics (ISAIM 2008). PDF

T. Balch, F. Dellaert, A. Feldman, A. Guillory, C. Isbell, Z. Khan, S. Pratt, A. Stein, H. Wilde. How A.I. and Multi-Robot Systems Research Will Accelerate Our Understanding of Social Animal Behavior Proceedings of the IEEE, 2006. PDF

A. Guillory, H. Nguyen, T. Balch, C. Isbell. Learning Executable Agent Behaviors from Observation Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006). PDF