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Anderson Acceleration for Nonconvex ADMM Based on Douglas-Rachford
  Splitting
v1v2 (latest)

Anderson Acceleration for Nonconvex ADMM Based on Douglas-Rachford Splitting

25 June 2020
W. Ouyang
Yue Peng
Yuxin Yao
Juyong Zhang
Bailin Deng
ArXiv (abs)PDFHTML

Papers citing "Anderson Acceleration for Nonconvex ADMM Based on Douglas-Rachford Splitting"

10 / 10 papers shown
BC-ADMM: An Efficient Non-convex Constrained Optimizer with Robotic Applications
BC-ADMM: An Efficient Non-convex Constrained Optimizer with Robotic Applications
Zherong Pan
Kui Wu
302
0
0
07 Apr 2025
Accelerating AI Performance using Anderson Extrapolation on GPUs
Accelerating AI Performance using Anderson Extrapolation on GPUs
Saleem Al Dajani
David Keyes
216
0
0
25 Oct 2024
Anderson Acceleration in Nonsmooth Problems: Local Convergence via
  Active Manifold Identification
Anderson Acceleration in Nonsmooth Problems: Local Convergence via Active Manifold Identification
Kexin Li
Luwei Bai
Xinze Wang
Hao Wang
243
0
0
12 Oct 2024
Constructing artificial life and materials scientists with accelerated
  AI using Deep AndersoNN
Constructing artificial life and materials scientists with accelerated AI using Deep AndersoNN
Saleem Al Dajani
David Keyes
AI4CE
349
0
0
29 Jul 2024
A Convex Optimization Framework for Regularized Geodesic Distances
A Convex Optimization Framework for Regularized Geodesic DistancesInternational Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2023
M. Edelstein
Nestor Guillen
Justin Solomon
M. Ben-Chen
246
8
0
22 May 2023
Fast and Robust Non-Rigid Registration Using Accelerated
  Majorization-Minimization
Fast and Robust Non-Rigid Registration Using Accelerated Majorization-MinimizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yuxin Yao
Bailin Deng
Weiwei Xu
Juyong Zhang
579
30
0
07 Jun 2022
Beyond L1: Faster and Better Sparse Models with skglm
Beyond L1: Faster and Better Sparse Models with skglmNeural Information Processing Systems (NeurIPS), 2022
Quentin Bertrand
Quentin Klopfenstein
Pierre-Antoine Bannier
Gauthier Gidel
Mathurin Massias
337
29
0
16 Apr 2022
A Convergent ADMM Framework for Efficient Neural Network Training
A Convergent ADMM Framework for Efficient Neural Network Training
Junxiang Wang
Hongyi Li
Bo Pan
205
1
0
22 Dec 2021
A Splitting Scheme for Flip-Free Distortion Energies
A Splitting Scheme for Flip-Free Distortion Energies
Oded Stein
Jiajin Li
Justin Solomon
277
7
0
12 Jul 2021
Fast and Robust Iterative Closest Point
Fast and Robust Iterative Closest PointIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Juyong Zhang
Yuxin Yao
Bailin Deng
3DPC
286
372
0
15 Jul 2020
1
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