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stat.ML2022★ 1 cited
On Adaptivity in Non-stationary Stochastic Optimization With Bandit Feedback
Yining Wang
In this paper we study the non-stationary stochastic optimization question with bandit feedback and dynamic regret measures. The seminal work of Besbes et al. (2015) shows that, wh…
stat.ML2018
Direct Learning to Rank and Rerank
Cynthia Rudin, Yining Wang
Learning-to-rank techniques have proven to be extremely useful for prioritization problems, where we rank items in order of their estimated probabilities, and dedicate our limited…