Learning high-dimensional mixtures of graphical models
Conference on Neural Information Processing Systems 2012, arXiv preprint arXiv:1203.0697, 2012
Anandkumar, Animashree and Hsu, Daniel and Huang, Furong and Kakade, Sham M
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High-Dimensional Structure Learning of Ising Models: Local Separation Criterion
Annals of Statistics, 2012
Anandkumar, Anima and Tan, Vincent and Huang, Furong and Willsky, Allen
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Learning deep resnet blocks sequentially using boosting theory
ICML 2018, arXiv preprint arXiv:1706.04964, 2018
Huang, Furong and Ash, Jordan and Langford, John and Schapire, Robert
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Online tensor methods for learning latent variable models
Journal of Machine Learning Research, 16: 2797—2835, 2015
Huang, Furong and Niranjan, UN and Hakeem, Mohammad Umar and Anandkumar, Animashree
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Unsupervised learning of transcriptional regulatory networks via latent tree graphical models
arXiv preprint arXiv:1609.06335, 2016
Gitter, Anthony and Huang, Furong and Valluvan, Ragupathyraj and Fraenkel, Ernest and Anandkumar, Animashree
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Non-negative factorization of the occurrence tensor from financial contracts
Tensor-Learn NIPS workshop 2016, arXiv preprint arXiv:1612.03350, 2016
Xu, Zheng and Huang, Furong and Raschid, Louiqa and Goldstein, Tom
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Fast detection of overlapping communities via online tensor methods/Online Tensor Methods for Learning Latent Variable Models
JMLR, 2014
Huang, Furong and Niranjan, UN and Hakeem, Mohammad Umar and Anandkumar, Animashree
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White paper: Distributed Latent Dirichlet Allocation on Spark via Tensor Decomposition
Technical Report, No. hrefhttp://newport.eecs.uci.edu/anandkumar/pubs/whitepaper.pdfhttp://newport.eecs.uci.edu/anandkumar/pubs/whitepaper.pdf, Department of Electrical Engineering and Computer Science, University of California Irvine, 2015
Furong Huang and Animashree Anandkumar
Publisher's website
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