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    Author information
    First name: Suresh
    Last name: Venkatasubramanian
    DBLP: 12/4662
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    Journal article
    Philip Adler, Casey Falk, Sorelle A. Friedler, Tionney Nix, Gabriel Rybeck, Carlos Eduardo Scheidegger, Brandon Smith, Suresh Venkatasubramanian.
    Auditing black-box models for indirect influence.
    Knowl. Inf. Syst. 2018, Volume 54 (0) 2018
    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 0001, 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
    Conference paper
    Suresh Venkatasubramanian.
    Computational Philosophy: On Fairness in Automated Decision Making.
    28th International Symposium on Algorithms and Computation, ISAAC 2017, December 9-12, 2017, Phuket, Thailand 2017 (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
    Show item 1 to 10 of 129  

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