ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1310.3745
  4. Cited By
Alternating Minimization for Mixed Linear Regression
v1v2 (latest)

Alternating Minimization for Mixed Linear Regression

14 October 2013
Xinyang Yi
Constantine Caramanis
Sujay Sanghavi
ArXiv (abs)PDFHTML

Papers citing "Alternating Minimization for Mixed Linear Regression"

14 / 14 papers shown
Title
Outlier-Robust Clustering of Non-Spherical Mixtures
Outlier-Robust Clustering of Non-Spherical Mixtures
Ainesh Bakshi
Pravesh Kothari
90
31
0
06 May 2020
Inference in Multi-Layer Networks with Matrix-Valued Unknowns
Inference in Multi-Layer Networks with Matrix-Valued Unknowns
Parthe Pandit
Mojtaba Sahraee-Ardakan
S. Rangan
P. Schniter
A. Fletcher
60
6
0
26 Jan 2020
Learning Mixtures of Linear Regressions in Subexponential Time via
  Fourier Moments
Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments
Sitan Chen
Jingkai Li
Zhao Song
80
39
0
16 Dec 2019
Robust Federated Learning in a Heterogeneous Environment
Robust Federated Learning in a Heterogeneous Environment
Avishek Ghosh
Justin Hong
Dong Yin
Kannan Ramchandran
OODFedML
73
219
0
16 Jun 2019
List-Decodable Linear Regression
List-Decodable Linear Regression
Sushrut Karmalkar
Adam R. Klivans
Pravesh Kothari
112
76
0
14 May 2019
Global Convergence of EM Algorithm for Mixtures of Two Component Linear
  Regression
Global Convergence of EM Algorithm for Mixtures of Two Component Linear Regression
Jeongyeol Kwon
Wei Qian
Constantine Caramanis
Yudong Chen
Damek Davis
74
57
0
12 Oct 2018
Convolutional Phase Retrieval via Gradient Descent
Convolutional Phase Retrieval via Gradient Descent
Qing Qu
Yuqian Zhang
Yonina C. Eldar
John N. Wright
95
30
0
03 Dec 2017
Recovery Guarantees for One-hidden-layer Neural Networks
Recovery Guarantees for One-hidden-layer Neural Networks
Kai Zhong
Zhao Song
Prateek Jain
Peter L. Bartlett
Inderjit S. Dhillon
MLT
186
337
0
10 Jun 2017
A Geometric Analysis of Phase Retrieval
A Geometric Analysis of Phase Retrieval
Ju Sun
Qing Qu
John N. Wright
144
526
0
22 Feb 2016
Regularized EM Algorithms: A Unified Framework and Statistical
  Guarantees
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees
Xinyang Yi
Constantine Caramanis
67
81
0
27 Nov 2015
Provable Sparse Tensor Decomposition
Provable Sparse Tensor Decomposition
W. Sun
Junwei Lu
Han Liu
Guang Cheng
108
127
0
05 Feb 2015
Finding a sparse vector in a subspace: Linear sparsity using alternating
  directions
Finding a sparse vector in a subspace: Linear sparsity using alternating directions
Qing Qu
Ju Sun
John N. Wright
129
112
0
15 Dec 2014
Statistical guarantees for the EM algorithm: From population to
  sample-based analysis
Statistical guarantees for the EM algorithm: From population to sample-based analysis
Sivaraman Balakrishnan
Martin J. Wainwright
Bin Yu
325
482
0
09 Aug 2014
A Convex Formulation for Mixed Regression with Two Components: Minimax
  Optimal Rates
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates
Yudong Chen
Xinyang Yi
Constantine Caramanis
78
1
0
25 Dec 2013
1