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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