Eric B. Laber - RankMe

20 papers A 1C 1Journal 18

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