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Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections,
  Insights, and Extensions

Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions

12 May 2017
R. Tibshirani
ArXivPDFHTML

Papers citing "Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions"

8 / 8 papers shown
Title
Riemannian Optimization on Relaxed Indicator Matrix Manifold
Riemannian Optimization on Relaxed Indicator Matrix Manifold
Jinghui Yuan
Fangyuan Xie
Feiping Nie
Xuelong Li
75
0
0
26 Mar 2025
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling
Matthew Burns
Qingyuan Hou
Michael Huang
137
1
0
08 Oct 2024
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Michael E. Sander
J. Puigcerver
Josip Djolonga
Gabriel Peyré
Mathieu Blondel
21
18
0
02 Feb 2023
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints
Akhil Agnihotri
R. Jain
Haipeng Luo
21
2
0
02 Feb 2023
Multivariate Trend Filtering for Lattice Data
Multivariate Trend Filtering for Lattice Data
Veeranjaneyulu Sadhanala
Yu-Xiang Wang
Addison J. Hu
R. Tibshirani
21
8
0
29 Dec 2021
Cooperative learning for multiview analysis
Cooperative learning for multiview analysis
D. Ding
Shuangning Li
B. Narasimhan
Robert Tibshirani
6
48
0
23 Dec 2021
Order Constraints in Optimal Transport
Order Constraints in Optimal Transport
Fabian Lim
L. Wynter
Shiau Hong Lim
OT
34
4
0
14 Oct 2021
Machine Learning Optimization Algorithms & Portfolio Allocation
Machine Learning Optimization Algorithms & Portfolio Allocation
Sarah Perrin
T. Roncalli
AIFin
14
45
0
23 Sep 2019
1