Xuedong Shang

activity

20192022

most citedGamification of Pure Exploration for Linear Bandits

23 citations · 34 across the 3 of their papers we have counts for

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2 papers · 1 filter

cs.LG2020

Stochastic Bandits with Vector Losses: Minimizing $ℓ^{\infty}$ -Norm of Relative Losses

Xuedong Shang, Han Shao, Jian Qian

Multi-armed bandits are widely applied in scenarios like recommender systems, for which the goal is to maximize the click rate. However, more factors should be considered, e.g., us…

cs.LG2019★ 5 cited

Fixed-Confidence Guarantees for Bayesian Best-Arm Identification

Xuedong Shang, Rianne de Heide, Emilie Kaufmann +2

We investigate and provide new insights on the sampling rule called Top-Two Thompson Sampling (TTTS). In particular, we justify its use for fixed-confidence best-arm identification…

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

Fixed-Confidence Guarantees for Bayesian Best-Arm Identification

Stochastic Bandits with Vector Losses: Minimizing $ℓ^{\infty}$ -Norm of Relative Losses