Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1506.07405
Cited By
v1
v2
v3 (latest)
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation
24 June 2015
Dejiao Zhang
Laura Balzano
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation"
25 / 25 papers shown
Randomized Gradient Subspaces for Efficient Large Language Model Training
Sahar Rajabi
Nayeema Nonta
Samanvay Vajpayee
Sirisha Rambhatla
111
0
0
02 Oct 2025
Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation
Alex Saad-Falcon
Brighton Ancelin
Justin Romberg
128
0
0
16 May 2025
SubTrack++ : Gradient Subspace Tracking for Scalable LLM Training
Sahar Rajabi
Nayeema Nonta
Sirisha Rambhatla
532
1
0
03 Feb 2025
Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series
Knowledge Discovery and Data Mining (KDD), 2024
Kohei Obata
Koki Kawabata
Yasuko Matsubara
Yasushi Sakurai
AI4TS
196
6
0
16 Sep 2024
Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
Neural Information Processing Systems (NeurIPS), 2022
Dan Garber
Ron Fisher
259
1
0
08 Feb 2022
Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime
SIAM Journal on Optimization (SIAM J. Optim.), 2021
Richard Y. Zhang
363
25
0
21 Apr 2021
Sequential (Quickest) Change Detection: Classical Results and New Directions
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2021
Liyan Xie
Shaofeng Zou
Yao Xie
Venugopal V. Veeravalli
AI4TS
238
125
0
09 Apr 2021
Federated Over-Air Subspace Tracking from Incomplete and Corrupted Data
IEEE Transactions on Signal Processing (TSP), 2020
Praneeth Narayanamurthy
Namrata Vaswani
Aditya Ramamoorthy
476
12
0
28 Feb 2020
Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis
Haroon Raja
W. Bajwa
199
11
0
04 Jan 2020
Exponentially convergent stochastic k-PCA without variance reduction
Cheng Tang
189
30
0
03 Apr 2019
Provable Subspace Tracking from Missing Data and Matrix Completion
Praneeth Narayanamurthy
Vahid Daneshpajooh
Namrata Vaswani
270
23
0
06 Oct 2018
Streaming PCA and Subspace Tracking: The Missing Data Case
Laura Balzano
Yuejie Chi
Yue M. Lu
203
95
0
12 Jun 2018
Subspace Estimation from Incomplete Observations: A High-Dimensional Analysis
Chuang Wang
Yonina C. Eldar
Yue M. Lu
329
18
0
17 May 2018
Static and Dynamic Robust PCA and Matrix Completion: A Review
Proceedings of the IEEE (Proc. IEEE), 2018
Namrata Vaswani
Praneeth Narayanamurthy
282
78
0
01 Mar 2018
Subspace Clustering using Ensembles of
K
K
K
-Subspaces
J. Lipor
David Hong
Dejiao Zhang
Laura Balzano
273
28
0
14 Sep 2017
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery
Journal of machine learning research (JMLR), 2017
Tyler Maunu
Teng Zhang
Gilad Lerman
284
67
0
13 Jun 2017
Sequential Low-Rank Change Detection
Yao Xie
Lee M. Seversky
212
2
0
03 Oct 2016
Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data
Dejiao Zhang
Laura Balzano
287
13
0
01 Oct 2016
Provable Burer-Monteiro factorization for a class of norm-constrained matrix problems
Dohyung Park
Anastasios Kyrillidis
Srinadh Bhojanapalli
Constantine Caramanis
Sujay Sanghavi
242
22
0
04 Jun 2016
Global Optimality of Local Search for Low Rank Matrix Recovery
Srinadh Bhojanapalli
Behnam Neyshabur
Nathan Srebro
ODL
282
400
0
23 May 2016
Dropping Convexity for Faster Semi-definite Optimization
Srinadh Bhojanapalli
Anastasios Kyrillidis
Sujay Sanghavi
329
177
0
14 Sep 2015
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Yudong Chen
Martin J. Wainwright
563
329
0
10 Sep 2015
The local convexity of solving systems of quadratic equations
Christopher D. White
Sujay Sanghavi
Rachel A. Ward
256
72
0
25 Jun 2015
Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery and Clustering
Jun He
Yue Zhang
162
8
0
12 Dec 2014
Fast, Robust and Non-convex Subspace Recovery
Gilad Lerman
Tyler Maunu
254
83
0
24 Jun 2014
1
Page 1 of 1
