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Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation
24 June 2015
Dejiao Zhang
Laura Balzano
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Papers citing
"Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation"
25 / 25 papers shown
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Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
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Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime
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Sequential (Quickest) Change Detection: Classical Results and New Directions
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09 Apr 2021
Federated Over-Air Subspace Tracking from Incomplete and Corrupted Data
IEEE Transactions on Signal Processing (TSP), 2020
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Namrata Vaswani
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28 Feb 2020
Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis
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04 Jan 2020
Exponentially convergent stochastic k-PCA without variance reduction
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03 Apr 2019
Provable Subspace Tracking from Missing Data and Matrix Completion
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06 Oct 2018
Streaming PCA and Subspace Tracking: The Missing Data Case
Laura Balzano
Yuejie Chi
Yue M. Lu
202
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12 Jun 2018
Subspace Estimation from Incomplete Observations: A High-Dimensional Analysis
Chuang Wang
Yonina C. Eldar
Yue M. Lu
319
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17 May 2018
Static and Dynamic Robust PCA and Matrix Completion: A Review
Proceedings of the IEEE (Proc. IEEE), 2018
Namrata Vaswani
Praneeth Narayanamurthy
279
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01 Mar 2018
Subspace Clustering using Ensembles of
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J. Lipor
David Hong
Dejiao Zhang
Laura Balzano
273
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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
281
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13 Jun 2017
Sequential Low-Rank Change Detection
Yao Xie
Lee M. Seversky
209
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03 Oct 2016
Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data
Dejiao Zhang
Laura Balzano
285
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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
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04 Jun 2016
Global Optimality of Local Search for Low Rank Matrix Recovery
Srinadh Bhojanapalli
Behnam Neyshabur
Nathan Srebro
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23 May 2016
Dropping Convexity for Faster Semi-definite Optimization
Srinadh Bhojanapalli
Anastasios Kyrillidis
Sujay Sanghavi
320
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14 Sep 2015
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Yudong Chen
Martin J. Wainwright
562
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10 Sep 2015
The local convexity of solving systems of quadratic equations
Christopher D. White
Sujay Sanghavi
Rachel A. Ward
247
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25 Jun 2015
Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery and Clustering
Jun He
Yue Zhang
162
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12 Dec 2014
Fast, Robust and Non-convex Subspace Recovery
Gilad Lerman
Tyler Maunu
251
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24 Jun 2014
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