Global Convergence of Online Limited Memory BFGS

Global Convergence of Online Limited Memory BFGS

6 September 2014

Alejandro Ribeiro

Papers citing "Global Convergence of Online Limited Memory BFGS"

10 / 60 papers shown

Title
IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate Aryan Mokhtari Mark Eisen Alejandro Ribeiro 33 73 0 02 Feb 2017
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space Alec Koppel Garrett A. Warnell Ethan Stump Alejandro Ribeiro 32 79 0 13 Dec 2016
An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton Acceleration Hongzhou Lin Julien Mairal Zaïd Harchaoui 31 13 0 04 Oct 2016
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization Tianlin Li Shiqian Ma D. Goldfarb Wen Liu 24 177 0 05 Jul 2016
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning Aryan Mokhtari Alec Koppel Alejandro Ribeiro 24 14 0 15 Jun 2016
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy Aryan Mokhtari Alejandro Ribeiro ODL 17 32 0 24 May 2016
Doubly Random Parallel Stochastic Methods for Large Scale Learning Aryan Mokhtari Alec Koppel Alejandro Ribeiro 12 15 0 22 Mar 2016
Efficient Second Order Online Learning by Sketching Haipeng Luo Alekh Agarwal Nicolò Cesa-Bianchi John Langford 8 94 0 06 Feb 2016
adaQN: An Adaptive Quasi-Newton Algorithm for Training RNNs N. Keskar A. Berahas ODL 9 34 0 04 Nov 2015
A Linearly-Convergent Stochastic L-BFGS Algorithm Philipp Moritz Robert Nishihara Michael I. Jordan ODL 37 233 0 09 Aug 2015