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11/08/2022
Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms
In this paper, we address the stochastic contextual linear bandit proble...
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07/07/2022
Differentially Private Stochastic Linear Bandits: (Almost) for Free
In this paper, we propose differentially private algorithms for the prob...
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06/08/2022
Learning in Distributed Contextual Linear Bandits Without Sharing the Context
Contextual linear bandits is a rich and theoretically important model th...
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11/11/2021
Solving Multi-Arm Bandit Using a Few Bits of Communication
The multi-armed bandit (MAB) problem is an active learning framework tha...
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12/14/2020
Quantizing data for distributed learning
We consider machine learning applications that train a model by leveragi...
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11/01/2019
On Distributed Quantization for Classification
We consider the problem of distributed feature quantization, where the g...
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03/09/2018