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stat.ML2023
Distribution-Dependent Rates for Multi-Distribution Learning
Rafael Hanashiro, Patrick Jaillet
To address the needs of modeling uncertainty in sensitive machine learning applications, the setup of distributionally robust optimization (DRO) seeks good performance uniformly ac…
cs.DS2023
Secretary Problems with Random Number of Candidates: How Prior Distributional Information Helps
Junhui Zhang, Patrick Jaillet
We study variants of the secretary problem, where , the number of candidates, is a random variable, and the decision maker wants to maximize the probability of success -- pickin…