Weakly Convex Optimization over Stiefel Manifold Using Riemannian
Subgradient-Type Methods

v1v2v3v4 (latest)

Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods

12 November 2019

Qing Qu

Anthony Man-Cho So

ArXiv (abs)PDF HTML

Papers citing "Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods"

9 / 9 papers shown

Title
Decentralized Riemannian Gradient Descent on the Stiefel Manifold Shixiang Chen Alfredo García Mingyi Hong Shahin Shahrampour 81 45 0 14 Feb 2021
On the Local Linear Rate of Consensus on the Stiefel Manifold Shixiang Chen Alfredo García Mingyi Hong Shahin Shahrampour 61 14 0 22 Jan 2021
From Symmetry to Geometry: Tractable Nonconvex Problems Yuqian Zhang Qing Qu John N. Wright 87 45 0 14 Jul 2020
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification Tianyi Lin Zeyu Zheng Elynn Y. Chen Marco Cuturi Michael I. Jordan OT 75 58 0 22 Jun 2020
Projection Robust Wasserstein Distance and Riemannian Optimization Tianyi Lin Chenyou Fan Nhat Ho Marco Cuturi Michael I. Jordan 88 69 0 12 Jun 2020
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold Bokun Wang Shiqian Ma Lingzhou Xue 80 19 0 03 May 2020
Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization Jiaxiang Li Krishnakumar Balasubramanian Shiqian Ma 16 5 0 25 Mar 2020
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications Qing Qu Zhihui Zhu Xiao Li M. Tsakiris John N. Wright René Vidal 56 20 0 20 Jan 2020
Analysis of the Optimization Landscapes for Overcomplete Representation Learning Qing Qu Yuexiang Zhai Xiao Li Yuqian Zhang Zhihui Zhu 99 10 0 05 Dec 2019