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

12 May 2017

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

11 / 11 papers shown

Title
Riemannian Optimization on Relaxed Indicator Matrix Manifold Jinghui Yuan Fangyuan Xie Feiping Nie Xuelong Li 126 0 0 26 Mar 2025
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling Matthew Burns Qingyuan Hou Michael Huang 439 1 0 08 Oct 2024
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints Akhil Agnihotri R. Jain Haipeng Luo 97 2 0 02 Feb 2023
Sampling with Mollified Interaction Energy Descent Lingxiao Li Qiang Liu Anna Korba Mikhail Yurochkin Justin Solomon 70 17 0 24 Oct 2022
Multivariate Trend Filtering for Lattice Data Veeranjaneyulu Sadhanala Yu Wang Addison J. Hu Robert Tibshirani 53 7 0 29 Dec 2021
Cooperative learning for multiview analysis D. Ding Shuangning Li B. Narasimhan Robert Tibshirani 145 49 0 23 Dec 2021
Order Constraints in Optimal Transport Fabian Lim L. Wynter Shiau Hong Lim OT 72 4 0 14 Oct 2021
Machine Learning Optimization Algorithms & Portfolio Allocation Sarah Perrin T. Roncalli AIFin 50 45 0 23 Sep 2019
Dual Extrapolation for Sparse Generalized Linear Models Mathurin Massias Samuel Vaiter Alexandre Gramfort Joseph Salmon 393 18 0 12 Jul 2019
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data Gabriel Loaiza-Ganem Sean M. Perkins Karen E. Schroeder Mark M. Churchland John P. Cunningham 3DPC 91 14 0 06 Mar 2019
Celer: a Fast Solver for the Lasso with Dual Extrapolation Mathurin Massias Alexandre Gramfort Joseph Salmon 100 72 0 21 Feb 2018