3 papers
cs.LG2026
Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robustness
Manish Aryal, Faiyaz Azam, Agnivo Banerjee +12
Classical reinforcement learning assumes the agent interacts with a fixed environment whose behavior does not depend on the agent's policy. This assumption breaks down in non-reali…
cs.CR2025
Private Selection with Heterogeneous Sensitivities
Daniela Antonova, Allegra Laro, Audra McMillan +1
Differentially private (DP) selection involves choosing a high-scoring candidate from a finite candidate pool, where each score depends on a sensitive dataset. This problem arises…
cs.CR2023
Randomized algorithms for precise measurement of differentially-private, personalized recommendations
Allegra Laro, Yanqing Chen, Hao He +1
Personalized recommendations form an important part of today's internet ecosystem, helping artists and creators to reach interested users, and helping users to discover new and eng…