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We consider the problem of solving mixed random linear equations with $k$ components.
“Adaptive mixtures of local experts”
Robert˜A Jacobs, Michael˜I Jordan, Steven˜J Nowlan and Geoffrey˜E Hinton · 1991
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Michel Wedel and Wayne˜S DeSarbo · 1995
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“Weak Convergence and Empirical Processes: With Applications to Statistics”
Aad˜W Van Der˜Vaart and Jon˜A Wellner · 1996
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Partha Deb and Ann˜M. Holmes · 2000
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Kert Viele and Barbara Tong · 2002
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“Phase retrieval via Wirtinger flow: Theory and algorithms”
Emmanuel˜J. Cand\‘es, Xiaodong Li and Mahdi Soltanolkotabi · 2007
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“Applications of finite mixtures of regression models”
Bettina Gr\"un and Friedrich Leisch · 2007
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“Introduction to the non-asymptotic analysis of random matrices”
Roman Vershynin · 2010
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“A method of moments for mixture models and hidden Markov models”
Animashree Anandkumar, Daniel Hsu and Sham˜M Kakade · 2012
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Michel Wedel and Wagner˜A Kamakura · 2012
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“Provable Tensor Methods for Learning Mixtures of Generalized Linear Models”
Hanie Sedghi and Anima Anandkumar · 2014
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“Learning Mixtures of Linear Classifiers.”
Yuekai Sun, Stratis Ioannidis and Andrea Montanari · 2014
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“Alternating Minimization for Mixed Linear Regression.”
Xinyang Yi, Constantine Caramanis and Sujay Sanghavi · 2014
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“Spectral methods meet EM: A provably optimal algorithm for crowdsourcing”
Yuchen Zhang, Xi Chen, Denny Zhou and Michael˜I Jordan · 2014
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Yudong Chen and Martin˜J Wainwright · 2015
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Animashree Anandkumar, Rong Ge, Daniel Hsu, Sham˜M. Kakade and Matus Telgarsky · 2014
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“Statistical guarantees for the EM algorithm: From population to sample-based analysis”
Sivaraman Balakrishnan, Martin˜J. Wainwright and Bin Yu · 2014
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“A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates.”
Yudong Chen, Xinyang Yi and Constantine Caramanis · 2014
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“Contributions to the mathematical theory of evolution”
Karl Pearson
Cited in the paper.
“Solving random quadratic systems of equations is nearly as easy as solving linear systems”
Yuxin Chen and Emmanuel˜J. Cand\‘es · 2015
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“Guaranteed matrix completion via nonconvex factorization”
Ruoyu Sun and Zhi-Quan Luo · 2015
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“Provable Tensor Methods for Learning Mixtures of Generalized Linear Models”
Hanie Sedghi, Majid Janzamin and Anima Anandkumar · 2016
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