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01/21/2023
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret
We consider the problem of online stochastic optimization in a distribut...
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11/04/2022
Distributed Linear Bandits under Communication Constraints
We consider distributed linear bandits where M agents learn collaborativ...
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07/16/2022
Kernel-based Federated Learning with Personalization
We consider federated learning with personalization, where in addition t...
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05/31/2022
Provably and Practically Efficient Neural Contextual Bandits
We consider the neural contextual bandit problem. In contrast to the exi...
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10/12/2021
As Easy as ABC: Adaptive Binning Coincidence Test for Uniformity Testing
We consider the problem of uniformity testing of Lipschitz continuous di...
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10/27/2020
A Computationally Efficient Approach to Black-box Optimization using Gaussian Process Models
We consider the sequential optimization of an unknown function from nois...
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03/11/2020