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stat.ML2026
A Finite Time Analysis of Thompson Sampling for Bayesian Optimization with Preferential Feedback
Joseph Lazzaro, Davide Buffelli, Da-shan Shiu +1
Preference feedback, in the form of pairwise comparisons rather than scalar scores, has seen increasing use in applications such as human-, laboratory-, and expert-in-the-loop desi…
stat.ML2025
Fixed-Confidence Multiple Change Point Identification under Bandit Feedback
Joseph Lazzaro, Ciara Pike-Burke
Piecewise constant functions describe a variety of real-world phenomena in domains ranging from chemistry to manufacturing. In practice, it is often required to confidently identif…
stat.ML2025
Fixed-Budget Change Point Identification in Piecewise Constant Bandits
Joseph Lazzaro, Ciara Pike-Burke
We study the piecewise constant bandit problem where the expected reward is a piecewise constant function with one change point (discontinuity) across the action space and…