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Mixtures of Linear Regressions (MLR) is an important mixture model with many applications.
Mixtures of linear regressions
Richard D De Veaux · 1989
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Hierarchical mixtures of experts and the em algorithm
Michael I Jordan and Robert A Jacobs · 1994
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Trajectory clustering with mixtures of regression models
Scott Gaffney and Padhraic Smyth · 1999
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Applications of finite mixtures of regression models
Bettina Grün, Friedrich Leisch, et al · 2007
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Variable selection in finite mixture of regression models
Abbas Khalili and Jiahua Chen · 2007
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Fitting mixtures of linear regressions
Susana Faria and Gilda Soromenho · 2010
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Settling the polynomial learnability of mixtures of gaussians
Ankur Moitra and Gregory Valiant · 2010
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Spectral experts for estimating mixtures of linear regressions
Arun T Chaganty and Percy Liang · 2013
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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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Alternating minimization for mixed linear regression
Xinyang Yi, Constantine Caramanis, and Sujay Sanghavi · 2014
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Learning mixtures of gaussians in high dimensions
Rong Ge, Qingqing Huang, and Sham M Kakade · 2015
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Lazysvd: Even faster svd decomposition yet without agonizing pain
Zeyuan Allen-Zhu and Yuanzhi Li · 2016
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Provable tensor methods for learning mixtures of generalized linear models
Hanie Sedghi, Majid Janzamin, and Anima Anandkumar · 2016
Mixed linear regression with multiple components
Kai Zhong, Prateek Jain, and Inderjit S Dhillon · 2016
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Sample-efficient learning of mixtures
Hassan Ashtiani, Shai Ben-David, and Abbas Mehrabian · 2017
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Statistical guarantees for the em algorithm: From population to sample-based analysis
Sivaraman Balakrishnan, Martin J Wainwright, Bin Yu, et al · 2017
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Gravitational allocation for uniform points on the sphere
Nina Holden, Yuval Peres, and Alex Zhai · 2017
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Estimating the coefficients of a mixture of two linear regressions by expectation maximization
Jason M Klusowski, Dana Yang, and WD Brinda · 2017
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Cited alongside, same era.
Xinyang Yi, Constantine Caramanis, and Sujay Sanghavi · 2016
Cited alongside, same era.
Convergence analysis of two-layer neural networks with relu activation
Yuanzhi Li and Yang Yuan · 2017
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