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All publications by Nicholas Roy
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Online Discovery of Feature Dependencies
Alborz Geramifard, Finale Doshi, Joshua Redding, Nicholas Roy and Jonathan How
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Infinite Dynamic Bayesian Networks
Finale Doshi, David Wingate, Josh Tenenbaum and Nicholas Roy
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Nonparametric Bayesian Policy Priors for Reinforcement Learning
Finale Doshi-velez, David Wingate, Nicholas Roy and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 23, 2010


Provably Efficient Learning with Typed Parametric Models
Emma Brunskill, Bethany R. Leffler, Lihong Li, Michael L. Littman and Nicholas Roy
Journal of Machine Learning Research, 2009


Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs
Finale Doshi, Joelle Pineau and Nicholas Roy
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Exponential Family PCA for Belief Compression in POMDPs
Nicholas Roy and Geoffrey J. Gordon
Advances in Neural Information Processing Systems 15, 2002