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Optimal Testing of Discrete Distributions with High Probability


Sep 14, 2020
Ilias Diakonikolas, Themis Gouleakis, Daniel M. Kane, John Peebles, Eric Price


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The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement


Aug 24, 2020
William Peebles, John Peebles, Jun-Yan Zhu, Alexei Efros, Antonio Torralba

* ECCV 2020 (Spotlight). Code available at https://github.com/wpeebles/hessian_penalty . Project page and videos available at https://www.wpeebles.com/hessian-penalty 

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Towards Testing Monotonicity of Distributions Over General Posets


Jul 06, 2019
Maryam Aliakbarpour, Themis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee

* Appeared in COLT 2019 

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On the Limitations of First-Order Approximation in GAN Dynamics


Jun 03, 2018
Jerry Li, Aleksander Madry, John Peebles, Ludwig Schmidt

* 18 pages, 4 figures, accepted to ICML 2018 

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Testing Identity of Multidimensional Histograms


Apr 10, 2018
Ilias Diakonikolas, Daniel M. Kane, John Peebles


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Sample-Optimal Identity Testing with High Probability


Aug 09, 2017
Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price


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Collision-based Testers are Optimal for Uniformity and Closeness


Nov 11, 2016
Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price


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