Talks and Posters

Daniel J. Lizotte. Supporting Preference-aware Sequential Medical Decision Making. MUCMD 12: Meaningful Use of Complex Medical Data. 10 Aug 2012.

Daniel J. Lizotte. The Role of Active Learning in Sequential Medical Medical Decision Making. Joint Statistical Meetings 2012. 30 July 2012.

Daniel J. Lizotte, Michael Bowling, and Susan A. Murphy. Inverse Preference Elicitation for Sequential Decision Making. Invited talk, INFORMS Healthcare. 19 June 2011.

Daniel J. Lizotte, Michael Bowling, and Susan A. Murphy. Reward Preferences in Reinforcement Learning. Université de Liège. 11 April 2011.

Daniel J. Lizotte, Michael Bowling, and Susan A. Murphy. Learning Treatment Policies for Inverse Preference Elicitation. University of Waterloo. 24 March 2011.

Daniel J. Lizotte, Michael Bowling, and Susan A. Murphy. Inverse Preference Elicitation. Univeristy of Michigan Addiction Research Center. 17 February 2011.

Daniel J. Lizotte, Michael Bowling, and Susan A. Murphy. Inverse Preference Elicitation. Invited talk at the Penn State University Methodology Center. 13 January 2011.

Daniel J. Lizotte, Michael Bowling, and Susan A. Murphy. Inverse Preference Elicitation for Dynamic Treatment Regimes. Invited talk at the department of Statistics and Actuarial Science at Simon Fraser University. 7 December 2010.

Daniel J. Lizotte. Gaussian Process Response Surface Optimization. Invited talk at the session on Optimizing Uncertain or Noisy Functions at the INFORMS Annual Meeting, 7 November 2010.

Daniel J. Lizotte, Michael Bowling and Susan A. Murphy. Inverse Preference Elicitation for Dynamic Treatment Regimes. Poster. Society for Medical Decision Making 2010 Meeting.

Daniel J. Lizotte, Michael Bowling, and Susan A. Murphy. Inverse Preference Elicitation. Invited talk at the department of Epidemiology, Biostatistics, and Occupational Health at McGill University. July 2010.

Daniel J. Lizotte, Michael Bowling, and Susan A. Murphy. Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Clinical Trial Analysis. Proceedings of the Twenty-Seventh International Conference on Machine Learning (ICML), 2010. See also: Talk, Poster.

Daniel J. Lizotte. Gaussian Process Response Surface Optimization. Invited talk at the Neural Information Processing Systems 09 Workshop on Adaptive Sensing, Active Learning, and Experimental Design.

Daniel J. Lizotte, Eric Laber and Susan A. Murphy. Informing the Individualization of Treatment Using Pragmatic Trial Data. Poster. Society for Medical Decision Making 2009 Meeting.

D. Lizotte. Adaptive Treatment Strategies. Invited talk at the at the Wayne State University Pediatric Prevention Research Center. January 2009.

D. Lizotte, L. Gunter, E. Laber and S.A. Murphy. Missing Data and Uncertainty in Batch Reinforcement Learning. Selected for a poster presentation at the NIPS-08 Workshop on Model Uncertainty and Risk in Reinforcement Learning.