7 citations · 18 across the 29 of their papers we have counts for
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cs.LG2022★ 1 cited
Distributed Stochastic Bandit Learning with Delayed Context Observation
Jiabin Lin, Shana Moothedath
We consider the problem where M agents collaboratively interact with an instance of a stochastic K-armed contextual bandit, where K>>M. The goal of the agents is to simultaneously…
cs.IT2022
Decentralized Communication-Efficient Multi-Task Representation Learning
Shana Moothedath, Namrata Vaswani
This work develops a provably accurate fully-decentralized alternating projected gradient descent (GD) algorithm for recovering a low rank (LR) matrix from mutually independent pro…
cs.LG2022★ 1 cited
Stochastic Conservative Contextual Linear Bandits
Jiabin Lin, Xian Yeow Lee, Talukder Jubery +3
Many physical systems have underlying safety considerations that require that the strategy deployed ensures the satisfaction of a set of constraints. Further, often we have only pa…