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Items where Person is "Janzamin-M"

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Number of items: 8.

2019

Janzamin, Majid and Ge, Rong and Kossaifi, Jean et al. (2019) Spectral Learning on Matrices and Tensors. Foundations and Trends in Machine Learning, 12 (5-6). pp. 393-536. ISSN 1935-8237. https://resolver.caltech.edu/CaltechAUTHORS:20200526-130837701

2017

Anandkumar, Animashree and Ge, Rong and Janzamin, Majid (2017) Analyzing Tensor Power Method Dynamics in Overcomplete Regime. Journal of Machine Learning Research, 18 (22). pp. 1-40. ISSN 1533-7928. https://resolver.caltech.edu/CaltechAUTHORS:20170920-110910164

2015

Anandkumar, Animashree and Hsu, Daniel and Janzamin, Majid et al. (2015) When Are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity. Journal of Machine Learning Research, 16 . pp. 2643-2694. ISSN 1533-7928. https://resolver.caltech.edu/CaltechAUTHORS:20170927-144026647

Janzamin, Majid and Sedghi, Hanie and Anandkumar, Anima (2015) Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20190401-123300368

Janzamin, Majid and Sedghi, Hanie and Anandkumar, Anima (2015) Score Function Features for Discriminative Learning. In: 3rd International Conference on Learning Representations (ICLR 2015), 7-9 May 2015, San Diego, CA. https://resolver.caltech.edu/CaltechAUTHORS:20190401-162925219

2014

Sedghi, Hanie and Janzamin, Majid and Anandkumar, Anima (2014) Provable Tensor Methods for Learning Mixtures of Generalized Linear Models. Proceedings of Machine Learning Research, 51 . pp. 1223-1231. ISSN 1938-7228. https://resolver.caltech.edu/CaltechAUTHORS:20190401-162921773

Janzamin, Majid and Sedghi, Hanie and Anandkumar, Anima (2014) Score Function Features for Discriminative Learning: Matrix and Tensor Framework. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20190401-162918161

Janzamin, Majid and Anandkumar, Animashree (2014) High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models. Journal of Machine Learning Research, 15 . pp. 1549-1591. ISSN 1533-7928. https://resolver.caltech.edu/CaltechAUTHORS:20170927-142820777

This list was generated on Thu Aug 13 08:20:40 2020 PDT.