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    Author information
    First name: Joydeep
    Last name: Ghosh
    DBLP: 51/2272
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    Below you find the publications which have been written by this author.

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    Conference paper
    Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand Negahban, Joydeep Ghosh.
    Scalable Greedy Feature Selection via Weak Submodularity.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Avradeep Bhowmik, Joydeep Ghosh.
    LETOR Methods for Unsupervised Rank Aggregation.
    Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017 2017 (0) 2017
    Conference paper
    Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo.
    Information Projection and Approximate Inference for Structured Sparse Variables.
    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
    Rajiv Khanna, Ethan Elenberg, Alexandros G. Dimakis, Sahand Negahban, Joydeep Ghosh.
    Scalable Greedy Feature Selection via Weak Submodularity.
    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
    Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo.
    Frequency Domain Predictive Modelling with Aggregated Data.
    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
    Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Joydeep Ghosh, Sahand Negahban.
    On Approximation Guarantees for Greedy Low Rank Optimization.
    Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017 2017 (0) 2017
    Conference paper
    Michael Motro, Joydeep Ghosh, Chandra Bhat.
    Optimal alarms for vehicular collision detection.
    IEEE Intelligent Vehicles Symposium, IV 2017, Los Angeles, CA, USA, June 11-14, 2017 2017 (0) 2017
    Conference paper
    Meghana Deodhar, Joydeep Ghosh, Maytal Saar-Tsechansky, Vineet Keshari.
    Active Learning with Multiple Localized Regression Models.
    INFORMS Journal on Computing 2017, Volume 29 (0) 2017
    Conference paper
    Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo.
    A Deflation Method for Structured Probabilistic PCA.
    Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017. 2017 (0) 2017
    Conference paper
    Francesco Locatello, Rajiv Khanna, Joydeep Ghosh, Gunnar Rätsch.
    Boosting Variational Inference: an Optimization Perspective.
    CoRR 2017, Volume 0 (0) 2017
    Show item 1 to 10 of 263  

    Your query returned 263 matches in the database.