Lizotte, Daniel J.

17 publications

TMLR 2025 Using Platt’s Scaling for Calibration After Undersampling — Limitations and How to Address Them Nathan Phelps, Daniel J Lizotte, Douglas G. Woolford
NeurIPSW 2024 Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks Rouzbeh Meshkinnejad, Jie Mei, Zeduo Zhang, Daniel J Lizotte, Yalda Mohsenzadeh
MLHC 2020 Comparisons Between Hamiltonian Monte Carlo and Maximum a Posteriori for a Bayesian Model for Apixaban Induction Dose & Dose Personalization A. Demetri Pananos, Daniel J. Lizotte
MLHC 2017 Visualizing Clinical Significance with Prediction and Tolerance Regions Maria Jahja, Daniel J. Lizotte
JMLR 2016 Multi-Objective Markov Decision Processes for Data-Driven Decision Support Daniel J. Lizotte, Eric B. Laber
MLJ 2014 Tracking People over Time in 19th Century Canada for Longitudinal Analysis Luiza Antonie, Kris Inwood, Daniel J. Lizotte, J. Andrew Ross
UAI 2013 Generative Multiple-Instance Learning Models for Quantitative Electromyography Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte
JMLR 2012 Linear Fitted-Q Iteration with Multiple Reward Functions Daniel J. Lizotte, Michael Bowling, Susan A. Murphy
NeurIPS 2011 Convergent Fitted Value Iteration with Linear Function Approximation Daniel J. Lizotte
MLJ 2011 Informing Sequential Clinical Decision-Making Through Reinforcement Learning: An Empirical Study Susan M. Shortreed, Eric B. Laber, Daniel J. Lizotte, T. Scott Stroup, Joelle Pineau, Susan A. Murphy
ICML 2010 Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis Daniel J. Lizotte, Michael H. Bowling, Susan A. Murphy
IJCAI 2007 Automatic Gait Optimization with Gaussian Process Regression Daniel J. Lizotte, Tao Wang, Michael H. Bowling, Dale Schuurmans
NeurIPS 2007 Stable Dual Dynamic Programming Tao Wang, Michael Bowling, Dale Schuurmans, Daniel J. Lizotte
ICML 2005 Bayesian Sparse Sampling for On-Line Reward Optimization Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans
UAI 2004 Active Model Selection Omid Madani, Daniel J. Lizotte, Russell Greiner
COLT 2004 The Budgeted Multi-Armed Bandit Problem Omid Madani, Daniel J. Lizotte, Russell Greiner
UAI 2003 Budgeted Learning of Naive-Bayes Classifiers Daniel J. Lizotte, Omid Madani, Russell Greiner