Xuedong Shang

Adaptive black-box optimization got easier: HCT only needs local smoothness

Michal Valko, Emilie Kaufmann, Xuedong Shang, 2018, EWRL 2018.

Stochastic Bandits with Vector Losses: Minimizing 𝓁∞-Norm of Relative Losses pdf

Xuedong Shang, Han Shao, Jian Qian, 2020, ArXiv.

General parallel optimization a without metric

Michal Valko, Emilie Kaufmann, Xuedong Shang, 2019, ALT.

Stochastic Bandits with Vector Losses: Minimizing 𝓁∞-Norm of Relative Losses

Xuedong Shang, Han Shao, Jian Qian, 2020, ArXiv.

Gamification of Pure Exploration for Linear Bandits

Michal Valko, Pierre M'enard, Xuedong Shang, 2020, ICML.

Fixed-Confidence Guarantees for Bayesian Best-Arm Identification pdf

Michal Valko, Emilie Kaufmann, Pierre M'enard, 2019, AISTATS.

UCB Momentum Q-learning: Correcting the bias without forgetting

Michal Valko, Omar Darwiche Domingues, Pierre Menard, 2021, ICML.