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Stochastic Gauss-Newton Algorithms for Nonconvex Compositional
  Optimization
v1v2 (latest)

Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization

International Conference on Machine Learning (ICML), 2020
17 February 2020
Quoc Tran-Dinh
Nhan H. Pham
Lam M. Nguyen
ArXiv (abs)PDFHTML

Papers citing "Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization"

12 / 12 papers shown
Solving Nonlinear PDEs with Sparse Radial Basis Function Networks
Solving Nonlinear PDEs with Sparse Radial Basis Function Networks
Zihan Shao
Konstantin Pieper
Xiaochuan Tian
545
5
0
12 May 2025
Incremental Gauss-Newton Descent for Machine Learning
Incremental Gauss-Newton Descent for Machine Learning
Mikalai Korbit
Mario Zanon
ODL
232
1
0
10 Aug 2024
Exact Gauss-Newton Optimization for Training Deep Neural Networks
Exact Gauss-Newton Optimization for Training Deep Neural Networks
Mikalai Korbit
Adeyemi Damilare Adeoye
Alberto Bemporad
Mario Zanon
ODL
402
8
0
23 May 2024
Dual Gauss-Newton Directions for Deep Learning
Dual Gauss-Newton Directions for Deep Learning
Vincent Roulet
Mathieu Blondel
ODL
210
0
0
17 Aug 2023
Modified Gauss-Newton Algorithms under Noise
Modified Gauss-Newton Algorithms under NoiseSymposium on Software Performance (SP), 2023
Krishna Pillutla
Vincent Roulet
Sham Kakade
Zaïd Harchaoui
227
3
0
18 May 2023
Linearization Algorithms for Fully Composite Optimization
Linearization Algorithms for Fully Composite OptimizationAnnual Conference Computational Learning Theory (COLT), 2023
Maria-Luiza Vladarean
N. Doikov
Martin Jaggi
Nicolas Flammarion
330
5
0
24 Feb 2023
Efficient algorithms for implementing incremental proximal-point methods
Efficient algorithms for implementing incremental proximal-point methodsMathematical Programming Computation (MPC), 2022
A. Shtoff
290
2
0
03 May 2022
Finite-Sum Optimization: A New Perspective for Convergence to a Global
  Solution
Finite-Sum Optimization: A New Perspective for Convergence to a Global Solution
Lam M. Nguyen
Trang H. Tran
Marten van Dijk
321
3
0
07 Feb 2022
Tighter Analysis of Alternating Stochastic Gradient Method for
  Stochastic Nested Problems
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems
Tianyi Chen
Yuejiao Sun
W. Yin
243
38
0
25 Jun 2021
A Single-Timescale Method for Stochastic Bilevel Optimization
A Single-Timescale Method for Stochastic Bilevel OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Tianyi Chen
Yuejiao Sun
Quan-Wu Xiao
W. Yin
342
94
0
09 Feb 2021
Progressive Batching for Efficient Non-linear Least Squares
Progressive Batching for Efficient Non-linear Least Squares
Huu Le
Christopher Zach
E. Rosten
Oliver J. Woodford
175
4
0
21 Oct 2020
Hybrid Variance-Reduced SGD Algorithms For Nonconvex-Concave Minimax
  Problems
Hybrid Variance-Reduced SGD Algorithms For Nonconvex-Concave Minimax Problems
Quoc Tran-Dinh
Deyi Liu
Lam M. Nguyen
243
13
0
27 Jun 2020
1
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