activity
20202026
most citedThompson Sampling for Combinatorial Semi-bandits with Sleeping Arms and Long-Term Fairness Constraints

5 citations · 6 across the 8 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.LG2026

Worst-Case Regret Bounds for Combinatorial Thompson Sampling in Sleeping Semi-Bandits

Zhiming Huang, Bingshan Hu, Jianping Pan

We revisit combinatorial Thompson sampling (CTS) for semi-bandits with sleeping arms, where arm availability varies over time and actions must satisfy combinatorial constraints, as…

cs.CR2026

Privacy Filters are Captured by Residues: A Characterization of Free Natural Filters and the Cost of Adaptivity

Matthew Regehr, Bingshan Hu, Ethan Leeman +3

We study privacy filters, which enable privacy accounting for differentially private (DP) mechanisms with adaptively chosen privacy characteristics. We develop a general theory tha…