Small Sample Inference for Generalization Error in Classification Using the CUD Bound. - Eric B. Laber; Susan A. Murphy (UAI, 2008)

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 (Mach. Learn., 2011)

Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes - Phillip J. Schulte; Anastasios A. Tsiatis; Eric B. Laber; Marie Davidian (CoRR, 2012)

Set-valued dynamic treatment regimes for competing outcomes - Eric B. Laber; Daniel J. Lizotte; Bradley Ferguson (CoRR, 2012)

A Batch, Off-Policy, Actor-Critic Algorithm for Optimizing the Average Reward. - Susan A. Murphy; Yanzhen Deng; Eric B. Laber; Hamid Reza Maei; Richard S. Sutton; Katie Witkiewitz (CoRR, 2016)

Preface. - Paulo C. Rodrigues; Eric B. Laber (Commun. Stat. Simul. Comput., 2016)

Multi-Objective Markov Decision Processes for Data-Driven Decision Support. - Daniel J. Lizotte; Eric B. Laber (J. Mach. Learn. Res., 2016)

Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines. - Daniel J. Luckett; Eric B. Laber; Samer S. El-Kamary; Cheng Fan 006; Ravi Jhaveri; Charles M. Perou; Fatma M. Shebl; Michael R. Kosorok (CoRR, 2018)

Thompson Sampling for Pursuit-Evasion Problems. - Zhen Li; Nicholas J. Meyer; Eric B. Laber; Robert T. Brigantic (CoRR, 2018)

Global forensic geolocation with deep neural networks. - Neal S. Grantham; Brian J. Reich; Eric B. Laber; Krishna Pacifici; Robert R. Dunn; Noah Fierer; Matthew Gebert; Julia S. Allwood; Seth A. Faith (CoRR, 2019)

Parameterized Exploration. - Jesse Clifton; Lili Wu; Eric B. Laber (CoRR, 2019)

Convergence Rates of Posterior Distributions in Markov Decision Process. - Zhen Li; Eric B. Laber (CoRR, 2019)

Sex Trafficking Detection with Ordinal Regression Neural Networks. - Longshaokan Wang; Eric B. Laber; Yeng Saanchi; Sherrie Caltagirone (CoRR, 2019)

High dimensional precision medicine from patient-derived xenografts. - Naim U. Rashid; Daniel J. Luckett; Jingxiang Chen; Michael T. Lawson; Longshaokan Wang; Yunshu Zhang; Eric B. Laber; Yufeng Liu; Jen Jen Yeh; Donglin Zeng; Michael R. Kosorok (CoRR, 2019)

Efficient augmentation and relaxation learning for individualized treatment rules using observational data. - Ying-Qi Zhao; Eric B. Laber; Yang Ning; Sumona Saha; Bruce E. Sands (J. Mach. Learn. Res., 2019)

Assessing Tuning Parameter Selection Variability in Penalized Regression. - Wenhao Hu; Eric B. Laber; Clay Barker; Leonard A. Stefanski (Technometrics, 2019)

Variance Decompositions for Extensive-Form Games. - Alex Cloud; Eric B. Laber (CoG, 2021)

Estimation and Optimization of Composite Outcomes. - Daniel J. Luckett; Eric B. Laber; Siyeon Kim; Michael R. Kosorok (J. Mach. Learn. Res., 2021)

Sequential Knockoffs for Variable Selection in Reinforcement Learning. - Tao Ma; Hengrui Cai; Zhengling Qi; Chengchun Shi; Eric B. Laber (CoRR, 2023)