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    Author information
    First name: Suresh
    Last name: Venkatasubramanian
    DBLP: 12/4662
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    Below you find the publications which have been written by this author.

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    Journal article
    Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian.
    Runaway Feedback Loops in Predictive Policing.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Amanda Bower, Sarah N. Kitchen, Laura Niss, Martin Strauss, Alexander Vargas, Suresh Venkatasubramanian.
    Fair Pipelines.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Danielle Ensign, Scott Neville, Arnab Paul, Suresh Venkatasubramanian.
    The Complexity of Explaining Neural Networks Through (group) Invariants.
    International Conference on Algorithmic Learning Theory, ALT 2017, 15-17 October 2017, Kyoto University, Kyoto, Japan (0) 2017
    Journal article
    Amirali Abdullah, Samira Daruki, Chitradeep Dutta Roy, Suresh Venkatasubramanian.
    Streaming Verification of Graph Properties.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Eduardo Scheidegger, Brandon Smith, Suresh Venkatasubramanian.
    Auditing Black-box Models by Obscuring Features.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    John Moeller, Sarathkrishna Swaminathan, Suresh Venkatasubramanian.
    A Unified View of Localized Kernel Learning.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    John Moeller, Vivek Srikumar, Sarathkrishna Swaminathan, Suresh Venkatasubramanian, Dustin Webb.
    Continuous Kernel Learning.
    Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II 2016 (0) 2016
    Conference paper
    Amirali Abdullah, Ravi Kumar 0001, Andrew McGregor 0001, Sergei Vassilvitskii, Suresh Venkatasubramanian.
    Sketching, Embedding and Dimensionality Reduction in Information Theoretic Spaces.
    Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016, Cadiz, Spain, May 9-11, 2016 2016 (0) 2016
    Conference paper
    John Moeller, Sarathkrishna Swaminathan, Suresh Venkatasubramanian.
    A Unified View of Localized Kernel Learning.
    Proceedings of the 2016 SIAM International Conference on Data Mining, Miami, Florida, USA, May 5-7, 2016 2016 (0) 2016
    Conference paper
    Sorelle A. Friedler, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian.
    On the (im)possibility of fairness.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Amirali Abdullah, Samira Daruki, Chitradeep Dutta Roy, Suresh Venkatasubramanian.
    Streaming Verification of Graph Properties.
    27th International Symposium on Algorithms and Computation, ISAAC 2016, December 12-14, 2016, Sydney, Australia 2016 (0) 2016
    Conference paper
    Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Eduardo Scheidegger, Brandon Smith, Suresh Venkatasubramanian.
    Auditing Black-Box Models for Indirect Influence.
    IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain 2016 (0) 2016
    Journal article
    Amirali Abdullah, Ravi Kumar 0001, Andrew McGregor 0001, Sergei Vassilvitskii, Suresh Venkatasubramanian.
    Sketching, Embedding, and Dimensionality Reduction for Information Spaces.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Arnab Paul, Suresh Venkatasubramanian.
    A Group Theoretic Perspective on Unsupervised Deep Learning.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Amit Chakrabarti, Graham Cormode, Andrew McGregor 0001, Justin Thaler, Suresh Venkatasubramanian.
    Verifiable Stream Computation and Arthur-Merlin Communication.
    30th Conference on Computational Complexity, CCC 2015, June 17-19, 2015, Portland, Oregon, USA 2015 (0) 2015
    Conference paper
    Amirali Abdullah, Suresh Venkatasubramanian.
    A Directed Isoperimetric Inequality with application to Bregman Near Neighbor Lower Bounds.
    Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, STOC 2015, Portland, OR, USA, June 14-17, 2015 2015 (0) 2015
    Conference paper
    Michael Feldman, Sorelle A. Friedler, John Moeller, Carlos Scheidegger, Suresh Venkatasubramanian.
    Certifying and Removing Disparate Impact.
    Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 2015 (0) 2015
    Journal article
    Samira Daruki, Justin Thaler, Suresh Venkatasubramanian.
    Streaming Verification in Data Analysis.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Samira Daruki, Justin Thaler, Suresh Venkatasubramanian.
    Streaming Verification in Data Analysis.
    Algorithms and Computation - 26th International Symposium, ISAAC 2015, Nagoya, Japan, December 9-11, 2015, Proceedings 2015 (0) 2015
    Journal article
    Amirali Abdullah, Suresh Venkatasubramanian.
    A directed isoperimetric inequality with application to Bregman near neighbor lower bounds.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    John Moeller, Parasaran Raman, Suresh Venkatasubramanian, Avishek Saha.
    A Geometric Algorithm for Scalable Multiple Kernel Learning.
    Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, AISTATS 2014, Reykjavik, Iceland, April 22-25, 2014 2014 (0) 2014
    Conference paper
    Maurizio Bocca, Ossi Kaltiokallio, Neal Patwari, Suresh Venkatasubramanian.
    Multiple Target Tracking with RF Sensor Networks.
    IEEE Trans. Mob. Comput. 2014, Volume 13 (0) 2014
    Conference paper
    Amit Chakrabarti, Graham Cormode, Andrew McGregor 0001, Justin Thaler, Suresh Venkatasubramanian.
    Verifiable Stream Computation and Arthur-Merlin Communication.
    Electronic Colloquium on Computational Complexity (ECCC) 2014, Volume 21 (0) 2014
    Conference paper
    Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian.
    Certifying and removing disparate impact.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Arnab Paul, Suresh Venkatasubramanian.
    Why does Deep Learning work? - A perspective from Group Theory.
    CoRR 2014, Volume 0 (0) 2014
    Show item 1 to 25 of 126  

    Your query returned 126 matches in the database.