1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Unified Risk Analysis for Weakly Supervised Learning
Chao-Kai Chiang, Masashi Sugiyama
Among the flourishing research of weakly supervised learning (WSL), we recognize the lack of a unified interpretation of the mechanism behind the weakly supervised scenarios, let a…
cs.LG2023★ 1 cited
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits
Jongyeong Lee, Junya Honda, Chao-Kai Chiang +1
In the stochastic multi-armed bandit problem, a randomized probability matching policy called Thompson sampling (TS) has shown excellent performance in various reward models. In ad…