Majid Janzamin

19 papers A* 2A 1B 1Journal 11Unranked 3

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