Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for
Python, C++, and soon more

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Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more

17 December 2019

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Papers citing "Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more"

9 / 9 papers shown

Title
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations Benedikt Alkin Lukas Miklautz Sepp Hochreiter Johannes Brandstetter VLM 235 8 0 24 Feb 2025
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise A. Kulunchakov Julien Mairal 63 45 0 25 Jan 2019
Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice Hongzhou Lin Julien Mairal Zaïd Harchaoui 51 139 0 15 Dec 2017
An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton Acceleration Hongzhou Lin Julien Mairal Zaïd Harchaoui 47 13 0 04 Oct 2016
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks Julien Mairal SSL 64 130 0 20 May 2016
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 135 1,828 0 01 Jul 2014
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 158 739 0 19 Mar 2014
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning Julien Mairal 149 319 0 18 Feb 2014
Proximal Stochastic Dual Coordinate Ascent Shai Shalev-Shwartz Tong Zhang 92 111 0 12 Nov 2012