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Dissertation Defense: Learning-based Decision-making under Stochastic and Adversarial Uncertainties

Yili Zhang
Tuesday, May 30, 2023
1:00-2:00 PM
4088 East Hall Map
Abridged Abstract:

This thesis studies two online learning problems in which the efficiency of the proposed strategies is studied in terms of their regret. The first problem works on finding an asymptotically optimal strategy for prediction with expert advice and the second one involves designing learning algorithms that optimize the social welfare of a single server queuing system when both the arrival and service rates are unknown.

Hybrid Defense:
East Hall 4088
Passcode: 647236
Building: East Hall
Event Type: Presentation
Tags: Dissertation, Graduate, Mathematics
Source: Happening @ Michigan from Dissertation Defense - Department of Mathematics, Department of Mathematics