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All publications by Scott Sanner
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Algorithms for Direct 0--1 Loss Optimization in Binary Classification
Tan Nguyen and Scott Sanner
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Symbolic Dynamic Programming for Continuous State and Observation POMDPs
Zahra Zamani, Scott Sanner, Pascal Poupart and Kristian Kersting
Advances in Neural Information Processing Systems 25, 2012


Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda
Carlton Downey and Scott Sanner
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Gaussian Process Preference Elicitation
Shengbo Guo, Scott Sanner and Edwin V. Bonilla
Advances in Neural Information Processing Systems 23, 2010


Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries
Shengbo Guo and Scott Sanner
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010