General parallel optimization a without metric. - Xuedong Shang; Emilie Kaufmann; Michal Valko (ALT, 2019)

Fixed-confidence guarantees for Bayesian best-arm identification. - Xuedong Shang; Rianne de Heide; Pierre Ménard; Emilie Kaufmann; Michal Valko (AISTATS, 2020)

Gamification of Pure Exploration for Linear Bandits. - Rémy Degenne; Pierre Ménard; Xuedong Shang; Michal Valko (ICML, 2020)

Stochastic Bandits with Vector Losses: Minimizing 𝓁∞-Norm of Relative Losses. - Xuedong Shang; Han Shao; Jian Qian (CoRR, 2020)

UCB Momentum Q-learning: Correcting the bias without forgetting. - Pierre Ménard; Omar Darwiche Domingues; Xuedong Shang; Michal Valko (ICML, 2021)

Adaptive methods for optimisation in stochastic environments. (Méthodes adaptatives pour l'optimisation dans un environnement stochastique). - Xuedong Shang (2021)

Price of Safety in Linear Best Arm Identification. - Xuedong Shang; Igor Colin; Merwan Barlier; Hamza Cherkaoui (CoRR, 2023)