# Majid Janzamin

According to our database

Collaborative distances:

^{1}, Majid Janzamin authored at least 16 papers between 2010 and 2019.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2019

Spectral Learning on Matrices and Tensors.

Found. Trends Mach. Learn., 2019

2017

Analyzing Tensor Power Method Dynamics in Overcomplete Regime.

J. Mach. Learn. Res., 2017

2016

Non-convex Optimization in Machine Learning: Provable Guarantees Using Tensor Methods.

PhD thesis, 2016

Provable Tensor Methods for Learning Mixtures of Generalized Linear Models.

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

When are overcomplete topic models identifiable? uniqueness of tensor tucker decompositions with structured sparsity.

J. Mach. Learn. Res., 2015

Generalization Bounds for Neural Networks through Tensor Factorization.

CoRR, 2015

Score Function Features for Discriminative Learning.

Proceedings of the 3rd International Conference on Learning Representations, 2015

FEAST at Play: Feature ExtrAction using Score function Tensors.

Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

Learning Overcomplete Latent Variable Models through Tensor Methods.

Proceedings of The 28th Conference on Learning Theory, 2015

2014

High-dimensional covariance decomposition into sparse Markov and independence models.

J. Mach. Learn. Res., 2014

Score Function Features for Discriminative Learning: Matrix and Tensor Framework.

CoRR, 2014

Analyzing Tensor Power Method Dynamics: Applications to Learning Overcomplete Latent Variable Models.

CoRR, 2014

Provable Learning of Overcomplete Latent Variable Models: Semi-supervised and Unsupervised Settings.

CoRR, 2014

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

CoRR, 2014

2012

High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains.

Proceedings of the 29th International Conference on Machine Learning, 2012

2010

A Game-Theoretic Approach for Power Allocation in Bidirectional Cooperative Communication.

Proceedings of the 2010 IEEE Wireless Communications and Networking Conference, 2010