Eric Laber

According to our database, Eric Laber authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Implicit Q-Learning and SARSA: Liberating Policy Control from Step-Size Calibration.

Hwanwoo Kim, Eric Laber

CoRR, January, 2026

2025

Implicit Updates for Average-Reward Temporal Difference Learning.

Hwanwoo Kim, Dongkyu Derek Cho, Eric Laber

CoRR, October, 2025

Scalable Policy Maximization Under Network Interference.

Aidan Gleich, Eric Laber, Alexander Volfovsky

CoRR, May, 2025

Stabilizing Temporal Difference Learning via Implicit Stochastic Approximation.

Hwanwoo Kim, Panos Toulis, Eric Laber

CoRR, May, 2025

Exploiting Concavity Information in Gaussian Process Contextual Bandit Optimization.

Kevin Li, Eric Laber

CoRR, March, 2025

Empirical Bound Information-Directed Sampling for Norm-Agnostic Bandits.

Piotr M. Suder, Eric Laber

CoRR, March, 2025

2024

Hidden Population Estimation with Indirect Inference and Auxiliary Information.

Justin Weltz, Eric Laber, Alexander Volfovsky

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023

Experimental Designs for Heteroskedastic Variance.

Justin Weltz, Tanner Fiez, Alexander Volfovsky, Eric Laber, Blake Mason, Houssam Nassif, Lalit Jain

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023