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cs.LG2026
Offline-to-Online Learning in Linear Bandits
Kushagra Chandak, Toshinori Kitamura, Xiaoqi Tan
We study online learning with an additional offline dataset in the stochastic linear bandit setting. Although this problem arises frequently in practice, the offline-to-online trad…
cs.LG2025
Online Multi-Class Selection with Group Fairness Guarantee
Faraz Zargari, Hossein Nekouyan, Lyndon Hallett +2
We study the online multi-class selection problem with group fairness guarantees, where limited resources must be allocated to sequentially arriving agents. Our work addresses two…