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Limited-memory BFGS
Results: 34

#	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	SIAM J. SCI. COMPUT. Vol. 36, No. 3, pp. A930–A954 c 2014 Society for Industrial and Applied Mathematics Add to Reading List Source URL: alice.loria.fr Language: English - Date: 2014-07-04 06:00:53 Delaunay triangulation Triangulation BroydenFletcherGoldfarbShanno algorithm Limited-memory BFGS Quasi-Newton method Distribution
3	Near-Optimal MAP Inference for Determinantal Point Processes Jennifer Gillenwater Alex Kulesza Ben Taskar Computer and Information Science University of Pennsylvania {jengi,kulesza,taskar}@cis.upenn.edu Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2012-11-12 14:20:02 Operations research Submodular set function Combinatorial optimization Automatic summarization Linear programming Mathematical optimization Optimization problem BroydenFletcherGoldfarbShanno algorithm Algorithm Greedy algorithm Limited-memory BFGS A* search algorithm
4	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
5	Microsoft Word110139 Add to Reading List Source URL: www.lasg.ac.cn Language: English - Date: 2012-03-08 21:44:30 Monte Carlo methods Estimation theory Markov models Weather prediction Statistical forecasting Limited-memory BFGS BFGS method Markov chain Monte Carlo Mixture model Statistics Probability and statistics Mathematical sciences
6	Improved analysis-error covariance matrix for high-dimensional variational inversions: application to source estimation using a 3D atmospheric transport model Add to Reading List Source URL: spot.colorado.edu Language: English - Date: 2015-04-29 17:50:25 Numerical linear algebra Matrices Linear filters Limited-memory BFGS Quasi-Newton method Estimation theory BFGS method Preconditioner Lanczos algorithm Algebra Mathematics Linear algebra
7	Krylov Subspace Descent for Deep Learning Oriol Vinyals University of California, Berkeley Abstract Add to Reading List Source URL: www1.icsi.berkeley.edu Language: English - Date: 2012-02-03 01:40:48 Numerical linear algebra Least squares Operator theory Estimation theory Limited-memory BFGS BFGS method Gauss–Newton algorithm Hessian matrix Mathematical optimization Numerical analysis Mathematics Mathematical analysis
8	Shallow Parsing with Conditional Random Fields Fei Sha and Fernando Pereira Department of Computer and Information Science University of Pennsylvania 200 South 33rd Street, Philadelphia, PAfeisha\|pereira)@cis.upe Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2004-09-12 22:18:04 Numerical linear algebra Machine learning Conditional random field Theoretical computer science Statistical classification Perceptron Linear classifier Limited-memory BFGS Preconditioner Statistics Mathematics Applied mathematics
9	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
10	REGULARIZATION, ADAPTATION, AND NON-INDEPENDENT FEATURES IMPROVE HIDDEN CONDITIONAL RANDOM FIELDS FOR PHONE CLASSIFICATION Yun-Hsuan Sung,1 Constantinos Boulis,2 Christopher Manning,3 Dan Jurafsky4 Electrical Engineering Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2007-10-14 22:19:15 Learning Pattern recognition Regularization Conditional random field Hidden Markov model Speech recognition Overfitting Limited-memory BFGS Early stopping Machine learning Statistics Artificial intelligence

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