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cs.LG2022
One Arrow, Two Kills: An Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits
Pierre Gaillard, Aadirupa Saha, Soham Dan
We address the problem of \emph{`Internal Regret'} in \emph{Sleeping Bandits} in the fully adversarial setup, as well as draw connections between different existing notions of slee…
cs.LG2022
Understanding Robust Generalization in Learning Regular Languages
Soham Dan, Osbert Bastani, Dan Roth
A key feature of human intelligence is the ability to generalize beyond the training distribution, for instance, parsing longer sentences than seen in the past. Currently, deep neu…
cs.LG2020★ 1 cited
Learning from Noisy Similar and Dissimilar Data
Soham Dan, Han Bao, Masashi Sugiyama
With the widespread use of machine learning for classification, it becomes increasingly important to be able to use weaker kinds of supervision for tasks in which it is hard to obt…