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Overparameterization of deep ResNet: zero loss and mean-field analysis

Jun 17, 2021
Zhiyan Ding, Shi Chen, Qin Li, Stephen Wright

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Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error

May 12, 2020
Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen Wright, David Page

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Computing Estimators of Dantzig Selector type via Column and Constraint Generation

Aug 18, 2019
Rahul Mazumder, Stephen Wright, Andrew Zheng

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Convergence and Margin of Adversarial Training on Separable Data

May 22, 2019
Zachary Charles, Shashank Rajput, Stephen Wright, Dimitris Papailiopoulos

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Bilinear Bandits with Low-rank Structure

Jan 08, 2019
Kwang-Sung Jun, Rebecca Willett, Stephen Wright, Robert Nowak

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ATOMO: Communication-efficient Learning via Atomic Sparsification

Jun 24, 2018
Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary Charles, Dimitris Papailiopoulos, Stephen Wright

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Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs

Jun 10, 2018
Bin Hu, Stephen Wright, Laurent Lessard

* to appear at ICML 2018 

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Blended Conditional Gradients: the unconditioning of conditional gradients

May 18, 2018
Gábor Braun, Sebastian Pokutta, Dan Tu, Stephen Wright

* 28 pages + 11 figures 

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Online Learning for Changing Environments using Coin Betting

Nov 06, 2017
Kwang-Sung Jun, Francesco Orabona, Stephen Wright, Rebecca Willett

* submitted to a journal. arXiv admin note: substantial text overlap with arXiv:1610.04578 

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Improved Strongly Adaptive Online Learning using Coin Betting

Aug 07, 2017
Kwang-Sung Jun, Francesco Orabona, Rebecca Willett, Stephen Wright

* fixed a few typos 

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Forward - Backward Greedy Algorithms for Atomic Norm Regularization

Jul 23, 2015
Nikhil Rao, Parikshit Shah, Stephen Wright

* To appear in IEEE Transactions on Signal Processing 

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