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A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning

Journal of machine learning research (JMLR), 2008

24 April 2008

Papers citing "A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning"

12 / 12 papers shown

A fast algorithm for solving the lasso problem exactly without homotopy using differential inclusions

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Jérome Darbon

221

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Novel and Efficient Approximations for Zero-One Loss of Linear Classifiers

Hiva Ghanbari

Minhan Li

K. Scheinberg

115

28 Feb 2019

Newton-Type Methods for Non-Convex Optimization Under Inexact Hessian Information

Peng Xu

Farbod Roosta-Khorasani

Michael W. Mahoney

678

222

23 Aug 2017

Training L1-Regularized Models with Orthant-Wise Passive Descent Algorithms

Jianqiao Wangni

255

26 Apr 2017

A Fast Algorithm for the Coordinate-wise Minimum Distance Estimation

Jiwoong Kim

09 Feb 2017

CoCoA: A General Framework for Communication-Efficient Distributed Optimization

366

281

07 Nov 2016

Nonextensive information theoretical machine

Chaobing Song

Shutao Xia

21 Apr 2016

Sub-Sampled Newton Methods II: Local Convergence Rates

Farbod Roosta-Khorasani

Michael W. Mahoney

364

18 Jan 2016

Sub-Sampled Newton Methods I: Globally Convergent Algorithms

Farbod Roosta-Khorasani

Michael W. Mahoney

363

18 Jan 2016

Counterfactual Risk Minimization: Learning from Logged Bandit Feedback

Adith Swaminathan

Thorsten Joachims

OffRL

405

169

09 Feb 2015

Proximal Newton-type methods for minimizing composite functionsSIAM Journal on Optimization (SIOPT), 2012

Jason D. Lee

Yuekai Sun

M. Saunders

1.3K

329

07 Jun 2012

An Introduction to Conditional Random Fields

Charles Sutton

Andrew McCallum

AI4CE BDL CML TPM

330

1,273

17 Nov 2010