Embeddings of Categorical Variables for Sequential Data in Fraud Context. - Yoan Russac; Olivier Caelen; Liyun He-Guelton (AMLTA, 2018)

Weighted Linear Bandits for Non-Stationary Environments. - Yoan Russac; Claire Vernade; Olivier Cappé (NeurIPS, 2019)

Algorithms for Non-Stationary Generalized Linear Bandits. - Yoan Russac; Olivier Cappé; Aurélien Garivier (CoRR, 2020)

Self-Concordant Analysis of Generalized Linear Bandits with Forgetting. - Yoan Russac; Louis Faury; Olivier Cappé; Aurélien Garivier (AISTATS, 2021)

A Technical Note on Non-Stationary Parametric Bandits: Existing Mistakes and Preliminary Solutions. - Louis Faury; Yoan Russac; Marc Abeille; Clément Calauzènes (ALT, 2021)

On Limited-Memory Subsampling Strategies for Bandits. - Dorian Baudry; Yoan Russac; Olivier Cappé (ICML, 2021)

A/B/n Testing with Control in the Presence of Subpopulations. - Yoan Russac; Christina Katsimerou; Dennis Bohle; Olivier Cappé; Aurélien Garivier; Wouter M. Koolen (NeurIPS, 2021)

Regret Bounds for Generalized Linear Bandits under Parameter Drift. - Louis Faury; Yoan Russac; Marc Abeille; Clément Calauzènes (CoRR, 2021)

Efficient Algorithms for Extreme Bandits. - Dorian Baudry; Yoan Russac; Emilie Kaufmann (AISTATS, 2022)

Sequential decision problems in non-stationary environments. (Problèmes de décision séquentielle dans des environnements non-stationnaires). - Yoan Russac (2022)