Majid Janzamin | DeepAI

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Featured Co-authors

Anima Anandkumar
190 publications
Daniel Hsu
72 publications
Rong Ge
66 publications
Sham Kakade
48 publications
Hanie Sedghi
27 publications
Jean Kossaifi
24 publications

∙ 04/16/2020

Spectral Learning on Matrices and Tensors

Spectral methods have been the mainstay in several domains such as machi...

164 Majid Janzamin, et al. ∙

∙ 06/28/2015

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

Training neural networks is a challenging non-convex optimization proble...

0 Majid Janzamin, et al. ∙

∙ 12/19/2014

Score Function Features for Discriminative Learning

Feature learning forms the cornerstone for tackling challenging learning...

0 Majid Janzamin, et al. ∙

∙ 12/09/2014

Provable Tensor Methods for Learning Mixtures of Generalized Linear Models

We consider the problem of learning mixtures of generalized linear model...

0 Hanie Sedghi, et al. ∙

∙ 12/09/2014

Score Function Features for Discriminative Learning: Matrix and Tensor Framework

Feature learning forms the cornerstone for tackling challenging learning...

0 Majid Janzamin, et al. ∙

∙ 11/06/2014

Analyzing Tensor Power Method Dynamics in Overcomplete Regime

We present a novel analysis of the dynamics of tensor power iterations i...

0 Anima Anandkumar, et al. ∙

∙ 08/03/2014

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

We provide guarantees for learning latent variable models emphasizing on...

0 Rong Ge, et al. ∙

∙ 02/21/2014

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

In this paper, we provide local and global convergence guarantees for re...

0 Rong Ge, et al. ∙

∙ 08/13/2013

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

Overcomplete latent representations have been very popular for unsupervi...

0 Daniel Hsu, et al. ∙

∙ 11/05/2012

High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models

Fitting high-dimensional data involves a delicate tradeoff between faith...

0 Majid Janzamin, et al. ∙

∙ 06/27/2012

High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains

In this paper, we present a novel framework incorporating a combination ...

0 Majid Janzamin, et al. ∙

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