2 citations · 3 across the 6 of their papers we have counts for
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stat.ML2025
UCB for Large-Scale Pure Exploration: Beyond Sub-Gaussianity
Zaile Li, Weiwei Fan, L. Jeff Hong
Selecting the best alternative from a finite set is the central objective of ranking and selection (R&S) and best arm identification (BAI). Traditional R&S or BAI approaches have p…
stat.ML2025
Sequential Additivity in Distributionally Robust Ranking and Selection
Zaile Li, Yuchen Wan, L. Jeff Hong
Ranking and selection (R&S) seeks to identify the alternative with the best mean performance from a finite collection of simulated alternatives. Its practical value depends on accu…
stat.ME2025★ 1 cited
New Additive OCBA Procedures for Robust Ranking and Selection
Yuchen Wan, Zaile Li, L. Jeff Hong
Robust ranking and selection (R&S) is an important and challenging variation of conventional R&S that seeks to select the best alternative among a finite set of alternatives. It ca…