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Learning Mixtures of Linear Regressions with Nearly Optimal Complexity
v1v2v3 (latest)

Learning Mixtures of Linear Regressions with Nearly Optimal Complexity

22 February 2018
Yuanzhi Li
Yingyu Liang
ArXiv (abs)PDFHTML

Papers citing "Learning Mixtures of Linear Regressions with Nearly Optimal Complexity"

8 / 58 papers shown
EM Converges for a Mixture of Many Linear Regressions
EM Converges for a Mixture of Many Linear RegressionsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Jeongyeol Kwon
Constantine Caramanis
159
41
0
28 May 2019
List-Decodable Linear Regression
List-Decodable Linear RegressionNeural Information Processing Systems (NeurIPS), 2019
Sushrut Karmalkar
Adam R. Klivans
Pravesh Kothari
274
79
0
14 May 2019
Convergence of Parameter Estimates for Regularized Mixed Linear
  Regression Models
Convergence of Parameter Estimates for Regularized Mixed Linear Regression ModelsIEEE Conference on Decision and Control (CDC), 2019
Taiyao Wang
I. Paschalidis
906
7
0
21 Mar 2019
Iterative Least Trimmed Squares for Mixed Linear Regression
Iterative Least Trimmed Squares for Mixed Linear RegressionNeural Information Processing Systems (NeurIPS), 2019
Yanyao Shen
Sujay Sanghavi
273
25
0
10 Feb 2019
Learning with Bad Training Data via Iterative Trimmed Loss Minimization
Learning with Bad Training Data via Iterative Trimmed Loss Minimization
Yanyao Shen
Sujay Sanghavi
FedML
156
4
0
28 Oct 2018
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
365
59
0
12 Oct 2018
Covariance constraints for stochastic inverse problems of computer
  models
Covariance constraints for stochastic inverse problems of computer models
Nicolas Bousquet
Mélanie Blazère
Thomas Cerbelaud
273
0
0
09 Jun 2018
Estimating the Coefficients of a Mixture of Two Linear Regressions by
  Expectation Maximization
Estimating the Coefficients of a Mixture of Two Linear Regressions by Expectation Maximization
Jason M. Klusowski
Dana Yang
W. Brinda
155
44
0
26 Apr 2017
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