Convergence of Stochastic Gradient Descent for PCA

30 September 2015

Papers citing "Convergence of Stochastic Gradient Descent for PCA"

45 / 45 papers shown

Title
Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation Alex Saad-Falcon Brighton Ancelin Justin Romberg 22 0 0 16 May 2025
Black-Box $k$ -to- $1$ -PCA Reductions: Theory and Applications A. Jambulapati Syamantak Kumar Jerry Li Shourya Pandey Ankit Pensia Kevin Tian 39 2 0 06 Mar 2024
ADS: Approximate Densest Subgraph for Novel Image Discovery Shanfeng Hu 11 0 0 13 Feb 2024
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning Nikhil Ghosh Spencer Frei Wooseok Ha Ting Yu MLT 32 3 0 06 Aug 2023
Fast Detection of Burst Jamming for Delay-Sensitive Internet-of-Things Applications Shao-Di Wang Hui-Ming Wang Peng Liu 13 1 0 02 Dec 2022
Universal Adversarial Directions Ching Lam Choi Farzan Farnia AAML 9 0 0 28 Oct 2022
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling Gerard Ben Arous Reza Gheissari Aukosh Jagannath 62 58 0 08 Jun 2022
Nonconvex Stochastic Scaled-Gradient Descent and Generalized Eigenvector Problems C. J. Li Michael I. Jordan 28 2 0 29 Dec 2021
Bootstrapping the error of Oja's algorithm Robert Lunde Purnamrita Sarkar Rachel A. Ward 23 10 0 28 Jun 2021
On the Optimality of the Oja's Algorithm for Online PCA Xin Liang 13 9 0 31 Mar 2021
FedPower: Privacy-Preserving Distributed Eigenspace Estimation Xiaoxun Guo Xiang Li Xiangyu Chang Shusen Wang Zhihua Zhang FedML 24 3 0 01 Mar 2021
Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond rank-one updates De Huang Jonathan Niles-Weed Rachel A. Ward 17 19 0 06 Feb 2021
EigenGame: PCA as a Nash Equilibrium I. Gemp Brian McWilliams Claire Vernade T. Graepel 27 46 0 01 Oct 2020
A General Framework for Analyzing Stochastic Dynamics in Learning Algorithms Chi-Ning Chou Juspreet Singh Sandhu Mien Brabeeba Wang Tiancheng Yu 11 4 0 11 Jun 2020
Scaling-up Distributed Processing of Data Streams for Machine Learning M. Nokleby Haroon Raja W. Bajwa 8 15 0 18 May 2020
Randomized spectral co-clustering for large-scale directed networks Xiao Guo Yixuan Qiu Hai Zhang Xiangyu Chang 24 14 0 25 Apr 2020
Communication-Efficient Distributed SVD via Local Power Iterations Xiang Li Shusen Wang Kun Chen Zhihua Zhang 35 21 0 19 Feb 2020
ROIPCA: An online memory-restricted PCA algorithm based on rank-one updates Roy Mitz Y. Shkolnisky 17 0 0 25 Nov 2019
ODE-Inspired Analysis for the Biological Version of Oja's Rule in Solving Streaming PCA Chi-Ning Chou Mien Brabeeba Wang 11 7 0 04 Nov 2019
Exponentially convergent stochastic k-PCA without variance reduction Cheng Tang 12 28 0 03 Apr 2019
Robust Streaming PCA D. Bienstock Minchan Jeong Apurv Shukla Se-Young Yun 12 3 0 08 Feb 2019
Physical-Layer Supervised Learning Assisted by an Entangled Sensor Network Quntao Zhuang Zheshen Zhang 13 96 0 28 Jan 2019
Incremental Principal Component Analysis Exact implementation and continuity corrections Vittorio Lippi G. Ceccarelli CLL 6 8 0 23 Jan 2019
Gen-Oja: A Two-time-scale approach for Streaming CCA Kush S. Bhatia Aldo Pacchiano Nicolas Flammarion Peter L. Bartlett Michael I. Jordan 8 2 0 20 Nov 2018
On the Regret Minimization of Nonconvex Online Gradient Ascent for Online PCA Dan Garber ODL 14 8 0 27 Sep 2018
Compositional Stochastic Average Gradient for Machine Learning and Related Applications Tsung-Yu Hsieh Y. El-Manzalawy Yiwei Sun Vasant Honavar 18 1 0 04 Sep 2018
Diffusion Approximations for Online Principal Component Estimation and Global Convergence C. J. Li Mengdi Wang Han Liu Tong Zhang 34 12 0 29 Aug 2018
Streaming PCA and Subspace Tracking: The Missing Data Case Laura Balzano Yuejie Chi Yue M. Lu 13 84 0 12 Jun 2018
Subspace Estimation from Incomplete Observations: A High-Dimensional Analysis Chuang Wang Yonina C. Eldar Yue M. Lu 29 17 0 17 May 2018
Average performance analysis of the stochastic gradient method for online PCA Stéphane Chrétien C. Guyeux Z. Ho 11 5 0 03 Apr 2018
Averaging Stochastic Gradient Descent on Riemannian Manifolds Nilesh Tripuraneni Nicolas Flammarion Francis R. Bach Michael I. Jordan 38 99 0 26 Feb 2018
Smooth Sensitivity Based Approach for Differentially Private Principal Component Analysis Ran Gilad-Bachrach Alon Gonen 28 10 0 29 Oct 2017
Accelerated Stochastic Power Iteration Christopher De Sa Bryan D. He Ioannis Mitliagkas Christopher Ré Peng Xu 35 89 0 10 Jul 2017
Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis Dan Garber Ohad Shamir Nathan Srebro 6 42 0 27 Feb 2017
Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU Zeyuan Allen-Zhu Yuanzhi Li 22 44 0 06 Jan 2017
Lock-Free Optimization for Non-Convex Problems Shen-Yi Zhao Gong-Duo Zhang Wu-Jun Li 19 5 0 11 Dec 2016
Optimal Binary Autoencoding with Pairwise Correlations Akshay Balsubramani SSL 22 1 0 07 Nov 2016
First Efficient Convergence for Streaming k-PCA: a Global, Gap-Free, and Near-Optimal Rate Zeyuan Allen-Zhu Yuanzhi Li 40 99 0 26 Jul 2016
Efficient Estimation of Partially Linear Models for Spatial Data over Complex Domain Elad Hazan Chi Jin Cameron Musco Praneeth Netrapalli 14 78 0 27 May 2016
Near-Optimal Stochastic Approximation for Online Principal Component Estimation C. J. Li Mengdi Wang Han Liu Tong Zhang 18 66 0 16 Mar 2016
An Improved Gap-Dependency Analysis of the Noisy Power Method Maria-Florina Balcan S. Du Yining Wang Adams Wei Yu 32 72 0 23 Feb 2016
Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja's Algorithm Prateek Jain Chi Jin Sham Kakade Praneeth Netrapalli Aaron Sidford 31 128 0 22 Feb 2016
Robust Shift-and-Invert Preconditioning: Faster and More Sample Efficient Algorithms for Eigenvector Computation Chi Jin Sham Kakade Cameron Musco Praneeth Netrapalli Aaron Sidford 22 42 0 29 Oct 2015
Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA Chun-Liang Li Hsuan-Tien Lin Chi-Jen Lu 23 29 0 04 Jun 2015
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 104 571 0 08 Dec 2012