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04/29/2022
Escaping Spurious Local Minima of Low-Rank Matrix Factorization Through Convex Lifting
This work proposes a rapid global solver for nonconvex low-rank matrix f...
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12/05/2021
Training Structured Neural Networks Through Manifold Identification and Variance Reduction
This paper proposes an algorithm (RMDA) for training neural networks (NN...
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12/12/2019
A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk Minimization
We propose a communication- and computation-efficient distributed optimi...
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03/04/2018
A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization
In this paper, we propose a communication- and computation- efficient di...
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10/16/2017
Using Neural Networks to Detect Line Outages from PMU Data
We propose an approach based on neural networks and the AC power flow eq...
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06/08/2015