Optimization and Control · Mathematics
A Stochastic Quasi-Newton Method for Large-Scale Optimization
R. H. Byrd, S. L. Hansen, J. Nocedal, Y. Singer
2015-02-19
Optimization and Control · Mathematics
On stochastic and deterministic quasi-Newton methods for non-Strongly convex optimization: Asymptotic convergence and rate analysis
Farzad Yousefian, Angelia Nedić, Uday Shanbhag
2019-10-02
Optimization and Control · Mathematics
A Variable Sample-size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization
Afrooz Jalilzadeh, Angelia Nedich, Uday V. Shanbhag, Farzad Yousefian
2020-11-03
Optimization and Control · Mathematics
Incremental Quasi-Newton Algorithms for Solving Nonconvex, Nonsmooth, Finite-Sum Optimization Problems
Gulcin Dinc Yalcin, Frank E. Curtis
2022-07-21
Optimization and Control · Mathematics
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part II
Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling
2022-01-20
Optimization and Control · Mathematics
A Stochastic Extra-Step Quasi-Newton Method for Nonsmooth Nonconvex Optimization
Minghan Yang, Andre Milzarek, Zaiwen Wen, Tong Zhang
2019-10-22
Machine Learning · Statistics
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization
Umut Şimşekli, Çağatay Yıldız, Thanh Huy Nguyen, Gaël Richard +1
2018-06-08
Optimization and Control · Mathematics
A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization
Hao-Jun Michael Shi, Yuchen Xie, Richard Byrd, Jorge Nocedal
2021-09-10
Optimization and Control · Mathematics
Fast Linear Convergence of Randomized BFGS
Dmitry Kovalev, Robert M. Gower, Peter Richtárik, Alexander Rogozin
2021-02-05
Optimization and Control · Mathematics
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization
Xiao Wang, Shiqian Ma, Donald Goldfarb, Wei Liu
2017-05-23
Optimization and Control · Mathematics
Quasi-Newton methods for minimizing a quadratic function subject to uncertainty
Shen Peng, Gianpiero Canessa, David Ek, Anders Forsgren
2025-02-26
Optimization and Control · Mathematics
A Single-Loop Stochastic Proximal Quasi-Newton Method for Large-Scale Nonsmooth Convex Optimization
Yongcun Song, Zimeng Wang, Xiaoming Yuan, Hangrui Yue
2024-12-24
Optimization and Control · Mathematics
An Adaptive Cubic Regularization quasi-Newton Method on Riemannian Manifolds
Mauricio S. Louzeiro, Gilson N. Silva, Jinyun Yuan, Daoping Zhang
2024-02-21
Machine Learning · Computer Science
mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization
Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi +1
2023-07-27
Machine Learning · Computer Science
A Stochastic Quasi-Newton Method with Nesterov's Accelerated Gradient
S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai
2020-10-16