According to our database1, Majid Janzamin authored at least 16 papers between 2010 and 2019.
Legend:Book In proceedings Article PhD thesis Other
Spectral Learning on Matrices and Tensors.
Found. Trends Mach. Learn., 2019
Analyzing Tensor Power Method Dynamics in Overcomplete Regime.
J. Mach. Learn. Res., 2017
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
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.
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
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.
Analyzing Tensor Power Method Dynamics: Applications to Learning Overcomplete Latent Variable Models.
Provable Learning of Overcomplete Latent Variable Models: Semi-supervised and Unsupervised Settings.
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-1 Updates.
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains.
Proceedings of the 29th International Conference on Machine Learning, 2012
A Game-Theoretic Approach for Power Allocation in Bidirectional Cooperative Communication.
Proceedings of the 2010 IEEE Wireless Communications and Networking Conference, 2010