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05/10/2023
Convergence of a Normal Map-based Prox-SGD Method under the KL Inequality
In this paper, we present a novel stochastic normal map-based algorithm ...
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06/08/2022
A Unified Convergence Theorem for Stochastic Optimization Methods
In this work, we provide a fundamental unified convergence theorem used ...
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04/01/2022
A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction
We develop an implementable stochastic proximal point (SPP) method for a...
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12/31/2021
Distributed Random Reshuffling over Networks
In this paper, we consider the distributed optimization problem where n ...
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10/10/2021
Convergence of Random Reshuffling Under The Kurdyka-Łojasiewicz Inequality
We study the random reshuffling (RR) method for smooth nonconvex optimiz...
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06/03/2020
Nonmonotone Globalization for Anderson Acceleration Using Adaptive Regularization
Anderson acceleration (AA) is a popular method for accelerating fixed-po...
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03/09/2018
