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    Author information
    First name: Inderjit S.
    Last name: Dhillon
    DBLP: d/InderjitSDhillon
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    Below you find the publications which have been written by this author.

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    Conference paper
    Qi Lei, Jinfeng Yi, Roman Vaculín, Lingfei Wu, Inderjit S. Dhillon.
    Similarity Preserving Representation Learning for Time Series Analysis.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Hsiang-Fu Yu, Hsin-Yuan Huang, Inderjit S. Dhillon, Chih-Jen Lin.
    A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information.
    Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. 2017 (0) 2017
    Conference paper
    Prateek Jain 0002, Ambuj Tewari, Inderjit S. Dhillon.
    Partial Hard Thresholding.
    IEEE Trans. Information Theory 2017, Volume 63 (0) 2017
    Conference paper
    Jiong Zhang, Ian En-Hsu Yen, Pradeep Ravikumar, Inderjit S. Dhillon.
    Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition.
    Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA 2017 (0) 2017
    Conference paper
    Kai-Yang Chiang, Cho-Jui Hsieh, Inderjit S. Dhillon.
    Rank Aggregation and Prediction with Item Features.
    Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA 2017 (0) 2017
    Conference paper
    Kai Zhong, Ruiqi Guo, Sanjiv Kumar, Bowei Yan, David Simcha, Inderjit S. Dhillon.
    Fast Classification with Binary Prototypes.
    Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA 2017 (0) 2017
    Conference paper
    Xiangru Huang, Ian En-Hsu Yen, Ruohan Zhang, Qi-Xing Huang, Pradeep Ravikumar, Inderjit S. Dhillon.
    Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain.
    Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA 2017 (0) 2017
    Journal article
    Kai Zhong, Zhao Song, Prateek Jain 0002, Peter L. Bartlett, Inderjit S. Dhillon.
    Recovery Guarantees for One-hidden-layer Neural Networks.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Kai Zhong, Zhao Song, Prateek Jain 0002, Peter L. Bartlett, Inderjit S. Dhillon.
    Recovery Guarantees for One-hidden-layer Neural Networks.
    Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017 2017 (0) 2017
    Conference paper
    Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Kumar Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh.
    Gradient Boosted Decision Trees for High Dimensional Sparse Output.
    Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017 2017 (0) 2017
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