3 papers
stat.AP2026
Evaluating for the long term: Learnings from industry
Leif Sigerson, Tom Cunningham, Winston Chou +22
Online platforms prioritize long-term business outcomes, yet typical experiments are far too short to measure these outcomes directly. Our goal in this paper is to collect and shar…
cs.LG2026
Adaptive Exploration for Latent-State Bandits
Jikai Jin, Kenneth Hung, Sanath Kumar Krishnamurthy +2
We study bandits whose rewards depend on an unobserved Markov state that evolves independently of the learner's actions. The optimal arm can change even though the learner observes…
stat.ME2025
Empirical Bayes Selection for Value Maximization
Dominic Coey, Kenneth Hung
We study the problem of selecting the best units from a set of as , where noisy, heteroskedastic measurements of the units' true values are availabl…