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04/19/2022
Compressed Empirical Measures (in finite dimensions)
We study approaches for compressing the empirical measure in the context...
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02/07/2020
Oblivious Data for Fairness with Kernels
We investigate the problem of algorithmic fairness in the case where sen...
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10/31/2019
Recovering Bandits
We study the recovering bandits problem, a variant of the stochastic mul...
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11/02/2018
The Goldenshluger-Lepski Method for Constrained Least-Squares Estimators over RKHSs
We study an adaptive estimation procedure called the Goldenshluger-Lepsk...
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09/20/2017
Bandits with Delayed Anonymous Feedback
We study the bandits with delayed anonymous feedback problem, a variant ...
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02/22/2017
Approximations of the Restless Bandit Problem
The multi-armed restless bandit problem is studied in the case where the...
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05/21/2012