Eric B. Laber

According to our database, Eric B. Laber authored at least 19 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Sequential Knockoffs for Variable Selection in Reinforcement Learning.

Tao Ma, Hengrui Cai, Zhengling Qi, Chengchun Shi, Eric B. Laber

CoRR, 2023

2021

Estimation and Optimization of Composite Outcomes.

Daniel J. Luckett, Eric B. Laber, Siyeon Kim, Michael R. Kosorok

J. Mach. Learn. Res., 2021

Variance Decompositions for Extensive-Form Games.

Alex Cloud, Eric B. Laber

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2019

Assessing Tuning Parameter Selection Variability in Penalized Regression.

Wenhao Hu, Eric B. Laber, Clay Barker, Leonard A. Stefanski

Technometrics, 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

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

Sex Trafficking Detection with Ordinal Regression Neural Networks.

Longshaokan Wang, Eric B. Laber, Yeng Saanchi, Sherrie Caltagirone

CoRR, 2019

Convergence Rates of Posterior Distributions in Markov Decision Process.

Zhen Li, Eric B. Laber

CoRR, 2019

Parameterized Exploration.

Jesse Clifton, Lili Wu, Eric B. Laber

CoRR, 2019

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

2018

Thompson Sampling for Pursuit-Evasion Problems.

Zhen Li, Nicholas J. Meyer, Eric B. Laber, Robert T. Brigantic

CoRR, 2018

Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines.

Daniel J. Luckett, Eric B. Laber, Samer S. El-Kamary, Cheng Fan, Ravi Jhaveri, Charles M. Perou, Fatma M. Shebl, Michael R. Kosorok

CoRR, 2018

2016

Multi-Objective Markov Decision Processes for Data-Driven Decision Support.

Daniel J. Lizotte, Eric B. Laber

J. Mach. Learn. Res., 2016

Preface.

Paulo C. Rodrigues, Eric B. Laber

Commun. Stat. Simul. Comput., 2016

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

2012

Set-valued dynamic treatment regimes for competing outcomes

Eric B. Laber, Daniel J. Lizotte, Bradley Ferguson

CoRR, 2012

Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes

Phillip J. Schulte, Anastasios A. Tsiatis, Eric B. Laber, Marie Davidian

CoRR, 2012

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

Mach. Learn., 2011

2008

Small Sample Inference for Generalization Error in Classification Using the CUD Bound.

Eric B. Laber, Susan A. Murphy

Proceedings of the UAI 2008, 2008