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Retrospective Approximation for Smooth Stochastic Optimization


Mar 07, 2021
David Newton, Raghu Bollapragada, Raghu Pasupathy, Nung Kwan Yip


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Constrained and Composite Optimization via Adaptive Sampling Methods


Dec 31, 2020
Yuchen Xie, Raghu Bollapragada, Richard Byrd, Jorge Nocedal

* 26 pages, 13 figures 

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Adaptive Sampling Quasi-Newton Methods for Derivative-Free Stochastic Optimization


Oct 29, 2019
Raghu Bollapragada, Stefan M. Wild

* 7 pages, NeurIPS workshop 

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An Investigation of Newton-Sketch and Subsampled Newton Methods


Jul 24, 2018
Albert S. Berahas, Raghu Bollapragada, Jorge Nocedal

* Technical Report: NU-07242018. 36 pages, 22 figures 

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A Progressive Batching L-BFGS Method for Machine Learning


May 30, 2018
Raghu Bollapragada, Dheevatsa Mudigere, Jorge Nocedal, Hao-Jun Michael Shi, Ping Tak Peter Tang

* ICML 2018. 25 pages, 17 figures, 2 tables 

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Adaptive Sampling Strategies for Stochastic Optimization


Oct 30, 2017
Raghu Bollapragada, Richard Byrd, Jorge Nocedal

* 32 Pages 

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Exact and Inexact Subsampled Newton Methods for Optimization


Sep 27, 2016
Raghu Bollapragada, Richard Byrd, Jorge Nocedal

* 37 pages 

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