Gálvez, Borja Rodríguez

5 publications

ICMLW 2024 A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry Martin Lindström, Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund

NeurIPSW 2024 An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandits Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias Oechtering, Mikael Skoglund

ICMLW 2024 Chained Information-Theoretic Bounds and Tight Regret Rate for Linear Bandit Problems Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias Oechtering, Mikael Skoglund

NeurIPSW 2021 Enforcing Fairness in Private Federated Learning via the Modified Method of Differential Multipliers Borja Rodríguez Gálvez, Filip Granqvist, Rogier van Dalen, Matt Seigel

NeurIPS 2021 Tighter Expected Generalization Error Bounds via Wasserstein Distance Borja Rodríguez Gálvez, German Bassi, Ragnar Thobaben, Mikael Skoglund