Majid Janzamin

According to our database, Majid Janzamin authored at least 16 papers between 2010 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

Spectral Learning on Matrices and Tensors.

Majid Janzamin, Rong Ge, Jean Kossaifi, Anima Anandkumar

Found. Trends Mach. Learn., 2019

2017

Analyzing Tensor Power Method Dynamics in Overcomplete Regime.

Animashree Anandkumar, Rong Ge, Majid Janzamin

J. Mach. Learn. Res., 2017

2016

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

Majid Janzamin

PhD thesis, 2016

Provable Tensor Methods for Learning Mixtures of Generalized Linear Models.

Hanie Sedghi, Majid Janzamin, Anima Anandkumar

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.

Animashree Anandkumar, Daniel J. Hsu, Majid Janzamin, Sham M. Kakade

J. Mach. Learn. Res., 2015

Generalization Bounds for Neural Networks through Tensor Factorization.

Majid Janzamin, Hanie Sedghi, Anima Anandkumar

CoRR, 2015

Score Function Features for Discriminative Learning.

Majid Janzamin, Hanie Sedghi, Anima Anandkumar

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

FEAST at Play: Feature ExtrAction using Score function Tensors.

Majid Janzamin, Hanie Sedghi, U. N. Niranjan, Animashree Anandkumar

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

Learning Overcomplete Latent Variable Models through Tensor Methods.

Animashree Anandkumar, Rong Ge, Majid Janzamin

Proceedings of The 28th Conference on Learning Theory, 2015

2014

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

Majid Janzamin, Animashree Anandkumar

J. Mach. Learn. Res., 2014

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

Majid Janzamin, Hanie Sedghi, Anima Anandkumar

CoRR, 2014

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

Anima Anandkumar, Rong Ge, Majid Janzamin

CoRR, 2014

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

Animashree Anandkumar, Rong Ge, Majid Janzamin

CoRR, 2014

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

Animashree Anandkumar, Rong Ge, Majid Janzamin

CoRR, 2014

2012

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

Majid Janzamin, Animashree Anandkumar

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

2010

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

Majid Janzamin, Mohammad Reza Pakravan, Hanie Sedghi

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