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Majid Janzamin

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Spectral Learning on Matrices and Tensors

Apr 16, 2020
Majid Janzamin, Rong Ge, Jean Kossaifi, Anima Anandkumar

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Provable Tensor Methods for Learning Mixtures of Generalized Linear Models

Jan 13, 2016
Hanie Sedghi, Majid Janzamin, Anima Anandkumar

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Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods

Jan 12, 2016
Majid Janzamin, Hanie Sedghi, Anima Anandkumar

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Analyzing Tensor Power Method Dynamics in Overcomplete Regime

Sep 14, 2015
Anima Anandkumar, Rong Ge, Majid Janzamin

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Score Function Features for Discriminative Learning

Apr 19, 2015
Majid Janzamin, Hanie Sedghi, Anima Anandkumar

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Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-$1$ Updates

Mar 04, 2015
Animashree Anandkumar, Rong Ge, Majid Janzamin

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Sample Complexity Analysis for Learning Overcomplete Latent Variable Models through Tensor Methods

Dec 16, 2014
Animashree Anandkumar, Rong Ge, Majid Janzamin

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Score Function Features for Discriminative Learning: Matrix and Tensor Framework

Dec 11, 2014
Majid Janzamin, Hanie Sedghi, Anima Anandkumar

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High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models

Dec 14, 2013
Majid Janzamin, Animashree Anandkumar

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When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity

Aug 13, 2013
Animashree Anandkumar, Daniel Hsu, Majid Janzamin, Sham Kakade

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