Posts Tagged ‘data-driven decision making’
Ruihao Zhu — Hedging the Drift: Learning to Optimize under Non-Stationarity
Abstract: We introduce general data-driven decision-making algorithms that achieve state-of-the-art dynamic regret bounds for non-stationary bandit settings. They capture applications such as advertisement allocation and dynamic pricing in changing environments.…
Read MoreRuihao Zhu — Hedging the Drift: Learning to Optimize under Non-Stationarity
Abstract: We introduce general data-driven decision-making algorithms that achieve state-of-the-art dynamic regret bounds for non-stationary bandit settings. They capture applications such as advertisement allocation and dynamic pricing in changing environments.…
Read MoreIEOR Welcomes Paul Grigas as new Assistant Professor
The Department of Industrial Engineering and Operations Research at UC Berkeley is proud to welcome Paul Grigas as a new Assistant Professor this fall. Paul’s research interests include large-scale convex optimization, statistical…
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