Optimization Methods for Large-Scale Machine Learning

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Optimization Methods for Large-Scale Machine Learning

15 June 2016

Frank E. Curtis

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Papers citing "Optimization Methods for Large-Scale Machine Learning"

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Title
Stochastic Newton and Quasi-Newton Methods for Large Linear Least-squares Problems Julianne Chung Matthias Chung J. T. Slagel L. Tenorio 56 11 0 23 Feb 2017
On SGD's Failure in Practice: Characterizing and Overcoming Stalling V. Patel 46 1 0 01 Feb 2017
Stochastic Subsampling for Factorizing Huge Matrices A. Mensch Julien Mairal Bertrand Thirion Gaël Varoquaux 72 30 0 19 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 87 2,112 0 17 Jan 2017
Stochastic Generative Hashing Bo Dai Ruiqi Guo Sanjiv Kumar Niao He Le Song TPM 103 107 0 11 Jan 2017
Coupling Adaptive Batch Sizes with Learning Rates Lukas Balles Javier Romero Philipp Hennig ODL 159 110 0 15 Dec 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 184 1,914 0 08 Oct 2016
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure A. Bietti Julien Mairal 209 36 0 04 Oct 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 559 2,948 0 15 Sep 2016
Benchmarking State-of-the-Art Deep Learning Software Tools Shaoshuai Shi Qiang-qiang Wang Pengfei Xu Xiaowen Chu BDL 135 330 0 25 Aug 2016
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics Nathan D. Ratliff Franziska Meier Daniel Kappler S. Schaal 85 17 0 01 Aug 2016
Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems Raja Giryes Yonina C. Eldar A. Bronstein Guillermo Sapiro 72 85 0 30 May 2016
FLAG n' FLARE: Fast Linearly-Coupled Adaptive Gradient Methods Xiang Cheng Farbod Roosta-Khorasani Stefan Palombo Peter L. Bartlett Michael W. Mahoney ODL 42 0 0 26 May 2016
A Multi-Batch L-BFGS Method for Machine Learning A. Berahas J. Nocedal Martin Takáč ODL 112 112 0 19 May 2016
The Proximal Robbins-Monro Method Panos Toulis Thibaut Horel E. Airoldi 59 30 0 04 Oct 2015
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 196 2,839 0 20 Feb 2015