1 citations · 1 across the 4 of their papers we have counts for
4 papers
Information-Theoretic Minimax Regret Bounds for Reinforcement Learning based on Duality
Raghav Bongole, Amaury Gouverneur, Borja Rodríguez-Gálvez +2
We study agents acting in an unknown environment where the agent's goal is to find a robust policy. We consider robust policies as policies that achieve high cumulative rewards for…
On Information Theoretic Fairness: Compressed Representations With Perfect Demographic Parity
Amirreza Zamani, Borja Rodríguez-Gálvez, Mikael Skoglund
In this article, we study the fundamental limits in the design of fair and/or private representations achieving perfect demographic parity and/or perfect privacy through the lens o…
An Information-Theoretic Approach to Generalization Theory
Borja Rodríguez-Gálvez, Ragnar Thobaben, Mikael Skoglund
We investigate the in-distribution generalization of machine learning algorithms. We depart from traditional complexity-based approaches by analyzing information-theoretic bounds t…
Chained Information-Theoretic bounds and Tight Regret Rate for Linear Bandit Problems
Amaury Gouverneur, Borja Rodríguez-Gálvez, Tobias J. Oechtering +1
This paper studies the Bayesian regret of a variant of the Thompson-Sampling algorithm for bandit problems. It builds upon the information-theoretic framework of [Russo and Van Roy…