research
∙
06/30/2023
Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inference
We focus on the problem of uncertainty informed allocation of medical re...
share
research
∙
08/03/2022
Bayesian regularization of empirical MDPs
In most applications of model-based Markov decision processes, the param...
research
∙
10/05/2021
Quasi-Newton policy gradient algorithms
Policy gradient algorithms have been widely applied to reinforcement lea...
research
∙
09/10/2021
Best-Arm Identification in Correlated Multi-Armed Bandits
In this paper we consider the problem of best-arm identification in mult...
research
∙
12/14/2020
Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning
Due to communication constraints and intermittent client availability in...
research
∙
10/30/2020
Integer Programming-based Error-Correcting Output Code Design for Robust Classification
Error-Correcting Output Codes (ECOCs) offer a principled approach for co...
research
∙
11/06/2019
Multi-Armed Bandits with Correlated Arms
We consider a multi-armed bandit framework where the rewards obtained by...
research
∙
10/18/2018
Exploiting Correlation in Finite-Armed Structured Bandits
We consider a correlated multi-armed bandit problem in which rewards of ...
research
∙
08/17/2018
Correlated Multi-armed Bandits with a Latent Random Source
We consider a novel multi-armed bandit framework where the rewards obtai...
research
∙
08/16/2018
