Eric B. Laber

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 15

Top Topics

Markov Decision Process

Ordinal Regression

Support Vector Machine

Top Venues

J. Mach. Learn. Res.

Commun. Stat. Simul. Comput.

Publications

Tao Ma, Hengrui Cai, Zhengling Qi, Chengchun Shi, Eric B. Laber
Sequential Knockoffs for Variable Selection in Reinforcement Learning. CoRR (2023)
Alex Cloud, Eric B. Laber
Variance Decompositions for Extensive-Form Games. CoG (2021)
Daniel J. Luckett, Eric B. Laber, Siyeon Kim, Michael R. Kosorok
Estimation and Optimization of Composite Outcomes. J. Mach. Learn. Res. 22 (2021)
Wenhao Hu, Eric B. Laber, Clay Barker, Leonard A. Stefanski
Assessing Tuning Parameter Selection Variability in Penalized Regression. Technometrics 61 (2) (2019)
Zhen Li, Eric B. Laber
Convergence Rates of Posterior Distributions in Markov Decision Process. CoRR (2019)
Ying-Qi Zhao, Eric B. Laber, Yang Ning, Sumona Saha, Bruce E. Sands
Efficient augmentation and relaxation learning for individualized treatment rules using observational data. J. Mach. Learn. Res. 20 (2019)
Jesse Clifton, Lili Wu, Eric B. Laber
Parameterized Exploration. CoRR (2019)
Longshaokan Wang, Eric B. Laber, Yeng Saanchi, Sherrie Caltagirone
Sex Trafficking Detection with Ordinal Regression Neural Networks. CoRR (2019)
Neal S. Grantham, Brian J. Reich, Eric B. Laber, Krishna Pacifici, Robert R. Dunn, Noah Fierer, Matthew Gebert, Julia S. Allwood, Seth A. Faith
Global forensic geolocation with deep neural networks. CoRR (2019)
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
High dimensional precision medicine from patient-derived xenografts. CoRR (2019)
Daniel J. Luckett, Eric B. Laber, Samer S. El-Kamary, Cheng Fan, Ravi Jhaveri, Charles M. Perou, Fatma M. Shebl, Michael R. Kosorok
Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines. CoRR (2018)
Zhen Li, Nicholas J. Meyer, Eric B. Laber, Robert T. Brigantic
Thompson Sampling for Pursuit-Evasion Problems. CoRR (2018)
Paulo C. Rodrigues, Eric B. Laber
Preface. Commun. Stat. Simul. Comput. 45 (7) (2016)
Daniel J. Lizotte, Eric B. Laber
Multi-Objective Markov Decision Processes for Data-Driven Decision Support. J. Mach. Learn. Res. 17 (2016)
Susan A. Murphy, Yanzhen Deng, Eric B. Laber, Hamid Reza Maei, Richard S. Sutton, Katie Witkiewitz
A Batch, Off-Policy, Actor-Critic Algorithm for Optimizing the Average Reward. CoRR (2016)
Eric B. Laber, Daniel J. Lizotte, Bradley Ferguson
Set-valued dynamic treatment regimes for competing outcomes CoRR (2012)
Eric B. Laber, Susan A. Murphy
Small Sample Inference for Generalization Error in Classification Using the CUD Bound CoRR (2012)
Phillip J. Schulte, Anastasios A. Tsiatis, Eric B. Laber, Marie Davidian
Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes CoRR (2012)
Susan M. Shortreed, Eric B. Laber, Daniel J. Lizotte, T. Scott Stroup, Joelle Pineau, Susan A. Murphy
Informing sequential clinical decision-making through reinforcement learning: an empirical study. Mach. Learn. 84 (1-2) (2011)
Eric B. Laber, Susan A. Murphy
Small Sample Inference for Generalization Error in Classification Using the CUD Bound. UAI (2008)