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03/22/2023
Noisy recovery from random linear observations: Sharp minimax rates under elliptical constraints
Estimation problems with constrained parameter spaces arise in various s...
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05/06/2022
Optimally tackling covariate shift in RKHS-based nonparametric regression
We study the covariate shift problem in the context of nonparametric reg...
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02/06/2022
A new similarity measure for covariate shift with applications to nonparametric regression
We study covariate shift in the context of nonparametric regression. We ...
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05/11/2020
FedSplit: An algorithmic framework for fast federated optimization
Motivated by federated learning, we consider the hub-and-spoke model of ...
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10/30/2019