Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits. - Gergely Neu; Julia Olkhovskaya; Matteo Papini; Ludovic Schwartz (NeurIPS, 2022)

Efficient conditioned face animation using frontally-viewed embedding. - Maxime Oquab; Daniel Haziza; Ludovic Schwartz; Tao Xu; Katayoun Zand; Rui Wang; Peirong Liu; Camille Couprie (CoRR, 2022)

Optimistic Information Directed Sampling. - Gergely Neu; Matteo Papini; Ludovic Schwartz (COLT, 2024)

Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently. - Sergio Calo; Anders Jonsson 001; Gergely Neu; Ludovic Schwartz; Javier Segovia-Aguas (NeurIPS, 2024)

Distances for Markov chains from sample streams. - Sergio Calo; Anders Jonsson 001; Gergely Neu; Ludovic Schwartz; Javier Segovia-Aguas (CoRR, 2025)