BibTeX records: Majid Janzamin

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@article{DBLP:journals/corr/abs-2004-07984,
  author       = {Majid Janzamin and
                  Rong Ge and
                  Jean Kossaifi and
                  Anima Anandkumar},
  title        = {Spectral Learning on Matrices and Tensors},
  journal      = {CoRR},
  volume       = {abs/2004.07984},
  year         = {2020},
  url          = {https://arxiv.org/abs/2004.07984},
  eprinttype    = {arXiv},
  eprint       = {2004.07984},
  timestamp    = {Tue, 21 Apr 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2004-07984.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ftml/JanzaminGKA19,
  author       = {Majid Janzamin and
                  Rong Ge and
                  Jean Kossaifi and
                  Anima Anandkumar},
  title        = {Spectral Learning on Matrices and Tensors},
  journal      = {Found. Trends Mach. Learn.},
  volume       = {12},
  number       = {5-6},
  pages        = {393--536},
  year         = {2019},
  url          = {https://doi.org/10.1561/2200000057},
  doi          = {10.1561/2200000057},
  timestamp    = {Mon, 28 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/ftml/JanzaminGKA19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AnandkumarGJ17,
  author       = {Animashree Anandkumar and
                  Rong Ge and
                  Majid Janzamin},
  title        = {Analyzing Tensor Power Method Dynamics in Overcomplete Regime},
  journal      = {J. Mach. Learn. Res.},
  volume       = {18},
  pages        = {22:1--22:40},
  year         = {2017},
  url          = {http://jmlr.org/papers/v18/15-486.html},
  timestamp    = {Wed, 10 Jul 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/jmlr/AnandkumarGJ17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@phdthesis{DBLP:phd/basesearch/Janzamin16,
  author       = {Majid Janzamin},
  title        = {Non-convex Optimization in Machine Learning: Provable Guarantees Using
                  Tensor Methods},
  school       = {University of California, Irvine, {USA}},
  year         = {2016},
  url          = {http://www.escholarship.org/uc/item/7p90p57n},
  timestamp    = {Tue, 16 May 2017 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/phd/basesearch/Janzamin16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SedghiJA16,
  author       = {Hanie Sedghi and
                  Majid Janzamin and
                  Anima Anandkumar},
  editor       = {Arthur Gretton and
                  Christian C. Robert},
  title        = {Provable Tensor Methods for Learning Mixtures of Generalized Linear
                  Models},
  booktitle    = {Proceedings of the 19th International Conference on Artificial Intelligence
                  and Statistics, {AISTATS} 2016, Cadiz, Spain, May 9-11, 2016},
  series       = {{JMLR} Workshop and Conference Proceedings},
  volume       = {51},
  pages        = {1223--1231},
  publisher    = {JMLR.org},
  year         = {2016},
  url          = {http://proceedings.mlr.press/v51/sedghi16.html},
  timestamp    = {Wed, 29 May 2019 08:41:44 +0200},
  biburl       = {https://dblp.org/rec/conf/aistats/SedghiJA16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AnandkumarHJK15,
  author       = {Animashree Anandkumar and
                  Daniel J. Hsu and
                  Majid Janzamin and
                  Sham M. Kakade},
  title        = {When are overcomplete topic models identifiable? uniqueness of tensor
                  tucker decompositions with structured sparsity},
  journal      = {J. Mach. Learn. Res.},
  volume       = {16},
  pages        = {2643--2694},
  year         = {2015},
  url          = {https://dl.acm.org/doi/10.5555/2789272.2912084},
  doi          = {10.5555/2789272.2912084},
  timestamp    = {Thu, 02 Jun 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/jmlr/AnandkumarHJK15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AnandkumarGJ15,
  author       = {Animashree Anandkumar and
                  Rong Ge and
                  Majid Janzamin},
  editor       = {Peter Gr{\"{u}}nwald and
                  Elad Hazan and
                  Satyen Kale},
  title        = {Learning Overcomplete Latent Variable Models through Tensor Methods},
  booktitle    = {Proceedings of The 28th Conference on Learning Theory, {COLT} 2015,
                  Paris, France, July 3-6, 2015},
  series       = {{JMLR} Workshop and Conference Proceedings},
  volume       = {40},
  pages        = {36--112},
  publisher    = {JMLR.org},
  year         = {2015},
  url          = {http://proceedings.mlr.press/v40/Anandkumar15.html},
  timestamp    = {Wed, 29 May 2019 08:41:46 +0200},
  biburl       = {https://dblp.org/rec/conf/colt/AnandkumarGJ15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/JanzaminSNA15,
  author       = {Majid Janzamin and
                  Hanie Sedghi and
                  U. N. Niranjan and
                  Animashree Anandkumar},
  title        = {{FEAST} at Play: Feature ExtrAction using Score function Tensors},
  booktitle    = {Proceedings of the 1st Workshop on Feature Extraction: Modern Questions
                  and Challenges, {FE} 2015, co-located with the 29th Annual Conference
                  on Neural Information Processing Systems {(NIPS} 2015), Montreal,
                  Canada, December 11-12, 2015},
  series       = {{JMLR} Workshop and Conference Proceedings},
  volume       = {44},
  pages        = {130--144},
  publisher    = {JMLR.org},
  year         = {2015},
  url          = {http://proceedings.mlr.press/v44/janzamin2015.html},
  timestamp    = {Wed, 29 May 2019 08:41:44 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/JanzaminSNA15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:journals/corr/JanzaminSA14a,
  author       = {Majid Janzamin and
                  Hanie Sedghi and
                  Anima Anandkumar},
  editor       = {Yoshua Bengio and
                  Yann LeCun},
  title        = {Score Function Features for Discriminative Learning},
  booktitle    = {3rd International Conference on Learning Representations, {ICLR} 2015,
                  San Diego, CA, USA, May 7-9, 2015, Workshop Track Proceedings},
  year         = {2015},
  url          = {http://arxiv.org/abs/1412.6514},
  timestamp    = {Wed, 17 Jul 2019 10:40:54 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/JanzaminSA14a.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/JanzaminSA15,
  author       = {Majid Janzamin and
                  Hanie Sedghi and
                  Anima Anandkumar},
  title        = {Generalization Bounds for Neural Networks through Tensor Factorization},
  journal      = {CoRR},
  volume       = {abs/1506.08473},
  year         = {2015},
  url          = {http://arxiv.org/abs/1506.08473},
  eprinttype    = {arXiv},
  eprint       = {1506.08473},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/JanzaminSA15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/JanzaminA14,
  author       = {Majid Janzamin and
                  Animashree Anandkumar},
  title        = {High-dimensional covariance decomposition into sparse Markov and independence
                  models},
  journal      = {J. Mach. Learn. Res.},
  volume       = {15},
  number       = {1},
  pages        = {1549--1591},
  year         = {2014},
  url          = {https://dl.acm.org/doi/10.5555/2627435.2638585},
  doi          = {10.5555/2627435.2638585},
  timestamp    = {Thu, 02 Jun 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/jmlr/JanzaminA14.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/AnandkumarGJ14,
  author       = {Animashree Anandkumar and
                  Rong Ge and
                  Majid Janzamin},
  title        = {Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-1
                  Updates},
  journal      = {CoRR},
  volume       = {abs/1402.5180},
  year         = {2014},
  url          = {http://arxiv.org/abs/1402.5180},
  eprinttype    = {arXiv},
  eprint       = {1402.5180},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/AnandkumarGJ14.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/AnandkumarGJ14a,
  author       = {Animashree Anandkumar and
                  Rong Ge and
                  Majid Janzamin},
  title        = {Provable Learning of Overcomplete Latent Variable Models: Semi-supervised
                  and Unsupervised Settings},
  journal      = {CoRR},
  volume       = {abs/1408.0553},
  year         = {2014},
  url          = {http://arxiv.org/abs/1408.0553},
  eprinttype    = {arXiv},
  eprint       = {1408.0553},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/AnandkumarGJ14a.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/AnandkumarGJ14b,
  author       = {Anima Anandkumar and
                  Rong Ge and
                  Majid Janzamin},
  title        = {Analyzing Tensor Power Method Dynamics: Applications to Learning Overcomplete
                  Latent Variable Models},
  journal      = {CoRR},
  volume       = {abs/1411.1488},
  year         = {2014},
  url          = {http://arxiv.org/abs/1411.1488},
  eprinttype    = {arXiv},
  eprint       = {1411.1488},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/AnandkumarGJ14b.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/JanzaminSA14,
  author       = {Majid Janzamin and
                  Hanie Sedghi and
                  Anima Anandkumar},
  title        = {Score Function Features for Discriminative Learning: Matrix and Tensor
                  Framework},
  journal      = {CoRR},
  volume       = {abs/1412.2863},
  year         = {2014},
  url          = {http://arxiv.org/abs/1412.2863},
  eprinttype    = {arXiv},
  eprint       = {1412.2863},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/JanzaminSA14.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/AnandkumarHJK13,
  author       = {Anima Anandkumar and
                  Daniel J. Hsu and
                  Majid Janzamin and
                  Sham M. Kakade},
  editor       = {Christopher J. C. Burges and
                  L{\'{e}}on Bottou and
                  Zoubin Ghahramani and
                  Kilian Q. Weinberger},
  title        = {When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor
                  Tucker Decompositions with Structured Sparsity},
  booktitle    = {Advances in Neural Information Processing Systems 26: 27th Annual
                  Conference on Neural Information Processing Systems 2013. Proceedings
                  of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States},
  pages        = {1986--1994},
  year         = {2013},
  url          = {https://proceedings.neurips.cc/paper/2013/hash/31b3b31a1c2f8a370206f111127c0dbd-Abstract.html},
  timestamp    = {Mon, 16 May 2022 15:41:51 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/AnandkumarHJK13.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/AnandkumarHJK13,
  author       = {Animashree Anandkumar and
                  Daniel J. Hsu and
                  Majid Janzamin and
                  Sham M. Kakade},
  title        = {When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor
                  Tucker Decompositions with Structured Sparsity},
  journal      = {CoRR},
  volume       = {abs/1308.2853},
  year         = {2013},
  url          = {http://arxiv.org/abs/1308.2853},
  eprinttype    = {arXiv},
  eprint       = {1308.2853},
  timestamp    = {Tue, 23 Jul 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/AnandkumarHJK13.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JanzaminA12,
  author       = {Majid Janzamin and
                  Animashree Anandkumar},
  title        = {High-Dimensional Covariance Decomposition into Sparse Markov and Independence
                  Domains},
  booktitle    = {Proceedings of the 29th International Conference on Machine Learning,
                  {ICML} 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012},
  publisher    = {icml.cc / Omnipress},
  year         = {2012},
  url          = {http://icml.cc/2012/papers/902.pdf},
  timestamp    = {Wed, 03 Apr 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/JanzaminA12.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/wcnc/JanzaminPS10,
  author       = {Majid Janzamin and
                  Mohammad Reza Pakravan and
                  Hanie Sedghi},
  title        = {A Game-Theoretic Approach for Power Allocation in Bidirectional Cooperative
                  Communication},
  booktitle    = {2010 {IEEE} Wireless Communications and Networking Conference, {WCNC}
                  2010, Proceedings, Sydney, Australia, 18-21 April 2010},
  pages        = {1--6},
  publisher    = {{IEEE}},
  year         = {2010},
  url          = {https://doi.org/10.1109/WCNC.2010.5506140},
  doi          = {10.1109/WCNC.2010.5506140},
  timestamp    = {Wed, 16 Oct 2019 14:14:50 +0200},
  biburl       = {https://dblp.org/rec/conf/wcnc/JanzaminPS10.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
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