Overview

My interests revolve around understanding how intelligent agents build models (implicitly or explicitly) of the world around them and understanding the role language plays in this process. Somewhat more concretely, I am interested in:



Publications and Awards

Publications, Peer-Reviewed Conferences, and Works Under Review:

B. Balle, W.L. Hamilton, and J. Pineau. "Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison. Proceedings of the Thirty-first International Conference on Machine Learning (ICML). 2014. [paper]


W.L. Hamilton, M.M. Fard, J. Pineau. "Modelling sparse dynamical systems with compressed predictive state representations". Proceedings of the Thirtieth International Conference on Machine Learning (ICML). 2013. [paper][slides]


W.L. Hamilton, M.M. Fard, J. Pineau. "Efficient Learning and Planning with Compressed Predictive States" (Extended Abstract). First Multidisciplinary Conference on Reinforcement Learning and Decision Making. 2013. [poster]


W.L. Hamilton, M.M. Fard, and J. Pineau. "Efficient Learning and Planning with Compressed Predictive States". Journal of Machine Learning Research. To appear. [manuscript (at ArXiv)]


Awards:

Stanford Graduate Fellowship (2014-present)


NSERC Canada Graduate Scholarship, PhD (2014-present)


McGill University Graduate Excellence Award (2013)


International Conference on Machine Learning (ICML) Travelling Scholarship (2013)


NSERC Canada Graduate Scholarship, MSc (2013-2014)


Computing Research Association of North America Outstanding Undergraduate Researcher, Honorable Mention (2013)


McGill JW McConnell Scholarship (2009-2013)


NSERC Undergraduate Science Research Award (2012)


McGill Undergraduate Science Research Award (2012)


McGill Computer Science Undergraduate Research Award (2012)


Oscar Wilde International Academic Gold Medal, Highly Commended (2012)


McGill Arts Research Internship Award (Cognitive Science) (2012)