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cs.LG2026
On the Computational Tractability of Robust Bandits
Vanessa Kosoy, Vinayak Pathak
Learning when the environment does not belong to the learner's hypothesis class is typically handled using agnostic learning guarantees. However, for anything beyond supervised lea…
cs.LG2025
Simplifying Adversarially Robust PAC Learning with Tolerance
Hassan Ashtiani, Vinayak Pathak, Ruth Urner
Adversarially robust PAC learning has proved to be challenging, with the currently best known learners [Montasser et al., 2021a] relying on improper methods based on intricate comp…