Second-Order Stochastic Optimization for Machine Learning in Linear Time

12 February 2016

Papers citing "Second-Order Stochastic Optimization for Machine Learning in Linear Time"

8 / 8 papers shown

Title
Unified Parameter-Efficient Unlearning for LLMs Chenlu Ding Jiancan Wu Yancheng Yuan Jinda Lu Kai Zhang Alex Su Xiang Wang Xiangnan He MU KELM 135 6 0 30 Nov 2024
Fast and Simple PCA via Convex Optimization Dan Garber Elad Hazan 20 90 0 18 Sep 2015
Convergence rates of sub-sampled Newton methods Murat A. Erdogdu Andrea Montanari 64 157 0 12 Aug 2015
Fast Stochastic Algorithms for SVD and PCA: Convergence Properties and Convexity Ohad Shamir 33 95 0 31 Jul 2015
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 105 1,817 0 01 Jul 2014
A Stochastic Quasi-Newton Method for Large-Scale Optimization R. Byrd Samantha Hansen J. Nocedal Y. Singer ODL 76 471 0 27 Jan 2014
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang ODL 75 462 0 10 Sep 2013
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang 109 1,031 0 10 Sep 2012