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Orthant-wise limited-memory quasi-Newton
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#	Item
1	A Modified Orthant-Wise Limited Memory Quasi-Newton Method Supplementary Material for “A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis” A. BFGS and L-BFGS For self-containedness, Add to Reading List Source URL: proceedings.mlr.press Language: English - Date: 2017-05-06 17:27:03
2	A Modified Orthant-Wise Limited Memory Quasi-Newton Method Supplementary Material for “A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis” A. BFGS and L-BFGS For self-containedness, Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:45 Limited-memory BFGS BroydenFletcherGoldfarbShanno algorithm Constructible universe Quasi-Newton method
3	Journal of Machine Learning Research–57 Submitted 11/08; Revised 11/09; Published -/10 A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2010-03-07 22:04:30 Limited-memory BFGS BFGS method Quasi-Newton method Gradient descent Orthant-wise limited-memory quasi-Newton Wolfe conditions Convex optimization Hessian matrix Subderivative Numerical analysis Mathematical analysis Mathematical optimization
4	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Greedy Sparsity-Constrained Optimization Bahmani, S.; Raj, B.; Boufounos, P.T. Add to Reading List Source URL: www.merl.com Language: English - Date: 2013-07-15 07:04:10 Econometrics Mathematical optimization Least squares Interior point method Linear regression Gradient descent Sparse approximation Orthant-wise limited-memory quasi-Newton Statistics Numerical analysis Regression analysis
5	Scalable Training of L1 -Regularized Log-Linear Models Galen Andrew Jianfeng Gao Microsoft Research, One Microsoft Way, Redmond, WA[removed]USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:25:19 Operations research Linear algebra Limited-memory BFGS Orthant-wise limited-memory quasi-Newton Quasi-Newton method BFGS method Mathematical optimization Gradient descent Hessian matrix Mathematics Algebra Numerical analysis
6	L1 AND L2 REGULARIZATION FOR MULTICLASS HINGE LOSS MODELS Robert C. Moore and John DeNero Google Research Add to Reading List Source URL: www.ttic.edu Language: English - Date: 2013-09-11 11:03:38 Learning Artificial intelligence Regularization Limited-memory BFGS Support vector machine Solid modeling Hinge loss Orthant-wise limited-memory quasi-Newton Machine learning Statistics Statistical classification

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