Jorge Nocedal
- Optimization Methods for Large-Scale Machine Learning
2016/06/15 by Léon Bottou, Bottou, Léon, Frank E. Curtis +3 · 2 voices · 176 citations
Computer Science · Decision Sciences · #stat.ML #cs.LG #math.OC
- On the limited memory BFGS method for large scale optimization
1989/08/01 by Dong C. Liu, Jorge Nocedal · 401 citations
Mathematics · Computer Science · #Advanced Optimization Algorithms Research #Matrix Theory and Algorithms #Iterative Methods for Nonlinear Equations
- On Large-Batch Training for Deep Learning: Generalization Gap and Sharp\n Minima
2016/09/15 by Nitish Shirish Keskar, Dheevatsa Mudigere, Keskar, Nitish Shirish +7 · 197 citations
Computer Science · #Stochastic Gradient Optimization Techniques #Machine Learning and Algorithms #Machine Learning and ELM
- Algorithm 778: L-BFGS-B
1997/12/01 by Ciyou Zhu, Richard H. Byrd, Peihuang Lu +1 · 101 citations
Computer Science · Mathematics · #Advanced Optimization Algorithms Research #Matrix Theory and Algorithms #Numerical Methods and Algorithms
- A Limited Memory Algorithm for Bound Constrained Optimization
1995/09/01 by Richard H. Byrd, Peihuang Lu, Jorge Nocedal +1 · 55 citations
- Sample size selection in optimization methods for machine learning
2012/06/23 by Richard H. Byrd, Gillian M. Chin, Jorge Nocedal +1 · 41 citations
Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Numerical methods in inverse problems #Stochastic Gradient Optimization Techniques
- Remark on “algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound constrained optimization”
2011/11/01 by José Luis Morales, Jorge Nocedal · 9 citations
Mathematics · Engineering · Computer Science · #Advanced Optimization Algorithms Research #Advanced Control Systems Optimization #Numerical Methods and Algorithms
- A Stochastic Quasi-Newton Method for Large-Scale Optimization
2014/01/27 by Richard H. Byrd, Samantha Hansen, Byrd, R. H. +5 · 8 citations
Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Analysis of the BFGS Method with Errors
2019/01/25 by Yuchen Xie, Xie, Yuchen, Richard Byrd +3 · 4 citations
Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- A Multi-Batch L-BFGS Method for Machine Learning
2016/05/19 by Albert S. Berahas, Berahas, Albert S., Jorge Nocedal +3 · 3 citations
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- A Progressive Batching L-BFGS Method for Machine Learning
2018/02/15 by Raghu Bollapragada, Dheevatsa Mudigere, Bollapragada, Raghu +7 · 4 citations
Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Machine Learning and Algorithms
- An Inexact Successive Quadratic Approximation Method for Convex L-1\n Regularized Optimization
2013/09/13 by Richard H. Byrd, Byrd, Richard H., Jorge Nocedal +3 · 2 citations
Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Numerical methods in inverse problems #Optimization and Control (math.OC) #Optimization and Variational Analysis #Sparse and Compressive Sensing Techniques
- A Second-Order Method for Convex \ℓ1-Regularized Optimization with\n Active Set Prediction
2015/05/16 by Nitish Shirish Keskar, Keskar, Nitish Shirish, Jorge Nocedal +5 · 1 citation
Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Advanced Optimization Algorithms Research #Optimization and Variational Analysis