Optimization Methods for Large-Scale Machine Learning

15 June 2016

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

7 / 1,407 papers shown

Title
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics Nathan D. Ratliff Franziska Meier Daniel Kappler S. Schaal 19 17 0 01 Aug 2016
Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems Raja Giryes Yonina C. Eldar A. Bronstein Guillermo Sapiro 17 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 19 0 0 26 May 2016
A Multi-Batch L-BFGS Method for Machine Learning A. Berahas J. Nocedal Martin Takáč ODL 24 110 0 19 May 2016
The Proximal Robbins-Monro Method Panos Toulis Thibaut Horel E. Airoldi 24 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 63 2,750 0 20 Feb 2015
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,185 0 30 Nov 2014