Majid Janzamin

Publication Activity (10 Years)

Years Active: 2010-2020
Publications (10 Years): 4

Top Venues

CoRR

J. Mach. Learn. Res.

AISTATS

NIPS

University of California, Irvine, USA (PHD)

Education History

University of California, Irvine, USA

PHD

Publications

Majid Janzamin, Rong Ge, Jean Kossaifi, Anima Anandkumar
Spectral Learning on Matrices and Tensors. CoRR (2020)
Majid Janzamin, Rong Ge, Jean Kossaifi, Anima Anandkumar
Spectral Learning on Matrices and Tensors. Found. Trends Mach. Learn. 12 (5-6) (2019)
Animashree Anandkumar, Rong Ge, Majid Janzamin
Analyzing Tensor Power Method Dynamics in Overcomplete Regime. J. Mach. Learn. Res. 18 (2017)
Hanie Sedghi, Majid Janzamin, Anima Anandkumar
Provable Tensor Methods for Learning Mixtures of Generalized Linear Models. AISTATS (2016)
Majid Janzamin, Hanie Sedghi, Anima Anandkumar
Score Function Features for Discriminative Learning. ICLR (Workshop) (2015)
Majid Janzamin, Hanie Sedghi, Anima Anandkumar
Generalization Bounds for Neural Networks through Tensor Factorization. CoRR (2015)
Animashree Anandkumar, Daniel J. Hsu, Majid Janzamin, Sham M. Kakade
When are overcomplete topic models identifiable? uniqueness of tensor tucker decompositions with structured sparsity. J. Mach. Learn. Res. 16 (2015)
Majid Janzamin, Hanie Sedghi, U. N. Niranjan, Animashree Anandkumar
FEAST at Play: Feature ExtrAction using Score function Tensors. FE@NIPS (2015)
Animashree Anandkumar, Rong Ge, Majid Janzamin
Learning Overcomplete Latent Variable Models through Tensor Methods. COLT (2015)
Animashree Anandkumar, Rong Ge, Majid Janzamin
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-1 Updates. CoRR (2014)
Animashree Anandkumar, Rong Ge, Majid Janzamin
Provable Learning of Overcomplete Latent Variable Models: Semi-supervised and Unsupervised Settings. CoRR (2014)
Anima Anandkumar, Rong Ge, Majid Janzamin
Analyzing Tensor Power Method Dynamics: Applications to Learning Overcomplete Latent Variable Models. CoRR (2014)
Majid Janzamin, Animashree Anandkumar
High-dimensional covariance decomposition into sparse Markov and independence models. J. Mach. Learn. Res. 15 (1) (2014)
Majid Janzamin, Hanie Sedghi, Anima Anandkumar
Score Function Features for Discriminative Learning: Matrix and Tensor Framework. CoRR (2014)
Animashree Anandkumar, Daniel J. Hsu, Majid Janzamin, Sham M. Kakade
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity. CoRR (2013)
Anima Anandkumar, Daniel J. Hsu, Majid Janzamin, Sham M. Kakade
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity. NIPS (2013)
Majid Janzamin, Animashree Anandkumar
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains. ICML (2012)
Majid Janzamin, Mohammad Reza Pakravan, Hanie Sedghi
A Game-Theoretic Approach for Power Allocation in Bidirectional Cooperative Communication. WCNC (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Majid Janzamin