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Limited-memory BFGS

Known as: L-BFGS-B: Optimization subject to simple bounds, L-BFGS, LM-BFGS 
Limited-memory BFGS (L-BFGS or LM-BFGS) is an optimization algorithm in the family of quasi-Newton methods that approximates the Broyden–Fletcher… 
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AlgorithmApache SparkBacktracking line searchC++11

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data
We present an approach MSIL-CRF that incorporates multiple instance learning (MIL) into conditional random fields (CRFs). It can… 
2014
2014
Limited memory BFGS method based on a high-order tensor model
This paper is aimed to employ a modified quasi-Newton equation in the framework of the limited memory BFGS method to solve large… 
2013
2013
Learning Semantic Representations for the Phrase Translation Model
This paper presents a novel semantic-based phrase translation model. A pair of source and target phrases are projected into… 
2006
2006
Preconditioning the limited-memory bfgs algorithm
For large scale unconstrained optimization, truncated Newton methods and limited memory quasi-Newton methods are most effective… 
2006
2006
Multi-Criterion Active Learning in Conditional Random Fields
Conditional random fields (CRFs), which are popular supervised learning models for many natural language processing (NLP) tasks… 
Highly Cited
2004
Highly Cited
2004
Automatic History Matching of Geologic Facies
The truncated plurigaussian method for modeling geologic facies is appealing not only for the wide variety of textures and shapes… 
1999
1999
Tracking MR tag surfaces using a spatiotemporal filter and interpolator
Magnetic resonance (MR) tagging is a method for visualizing cardiac motion in MR images by inducing artificial, high‐contrast… 
1999
1999
C++ classes for linking optimization with complex simulations
The object-oriented programming paradigm can be used to overcome the incompatibilities between off-the-shelf optimization… 
Highly Cited
1997
Highly Cited
1997
Limited-memory matrix methods with applications
The focus of this dissertation is on matrix decompositions that use a limited amount of computer memory, thereby allowing… 
1993
1993
Algorithms and Bounds for Shortest Paths and Diameter in Faulty Hypercubes
In an n-dimensional hypercube Qn, with the fault set mod F mod >2/sub n-2/, assuming Sand D are not isolated, it is shown that… 
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