Experimental Designs for Heteroskedastic Variance. - Justin Weltz; Tanner Fiez; Alexander Volfovsky; Eric Laber; Blake Mason; Houssam Nassif; Lalit Jain (NeurIPS, 2023)

Hidden Population Estimation with Indirect Inference and Auxiliary Information. - Justin Weltz; Eric Laber; Alexander Volfovsky (UAI, 2024)

Empirical Bound Information-Directed Sampling for Norm-Agnostic Bandits. - Piotr M. Suder; Eric Laber (CoRR, 2025)

Exploiting Concavity Information in Gaussian Process Contextual Bandit Optimization. - Kevin Li; Eric Laber (CoRR, 2025)

Stabilizing Temporal Difference Learning via Implicit Stochastic Approximation. - Hwanwoo Kim; Panos Toulis; Eric Laber (CoRR, 2025)

Scalable Policy Maximization Under Network Interference. - Aidan Gleich; Eric Laber; Alexander Volfovsky (CoRR, 2025)