Hypothesis Testing for High-Dimensional Multinomials: A Selective Review

17 December 2017

Papers citing "Hypothesis Testing for High-Dimensional Multinomials: A Selective Review"

13 / 13 papers shown

Title
T-Cal: An optimal test for the calibration of predictive models Donghwan Lee Xinmeng Huang Hamed Hassani Yan Sun 22 20 0 03 Mar 2022
Local permutation tests for conditional independence Ilmun Kim Matey Neykov Sivaraman Balakrishnan Larry A. Wasserman 31 27 0 22 Dec 2021
BONuS: Multiple multivariate testing with a data-adaptivetest statistic Chiao-Yu Yang Lihua Lei Nhat Ho William Fithian 20 5 0 29 Jun 2021
The Price of Tolerance in Distribution Testing C. Canonne Ayush Jain Gautam Kamath Jingkai Li 23 14 0 25 Jun 2021
Minimax Optimal Conditional Density Estimation under Total Variation Smoothness Michael Li Matey Neykov Sivaraman Balakrishnan 31 9 0 12 Mar 2021
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms Thomas B. Berrett C. Butucea 27 34 0 26 May 2020
Minimax optimality of permutation tests Ilmun Kim Sivaraman Balakrishnan Larry A. Wasserman 27 47 0 30 Mar 2020
Minimax Optimal Conditional Independence Testing Matey Neykov Sivaraman Balakrishnan Larry A. Wasserman 17 43 0 09 Jan 2020
Private Identity Testing for High-Dimensional Distributions C. Canonne Gautam Kamath Audra McMillan Jonathan R. Ullman Lydia Zakynthinou 35 36 0 28 May 2019
Multinomial Goodness-of-Fit Based on U-Statistics: High-Dimensional Asymptotic and Minimax Optimality Ilmun Kim 4 6 0 21 Dec 2018
Anaconda: A Non-Adaptive Conditional Sampling Algorithm for Distribution Testing Gautam Kamath Christos Tzamos 22 17 0 17 Jul 2018
Hypothesis Testing For Densities and High-Dimensional Multinomials: Sharp Local Minimax Rates Sivaraman Balakrishnan Larry A. Wasserman 11 50 0 30 Jun 2017
Testing Ising Models C. Daskalakis Nishanth Dikkala Gautam Kamath 18 101 0 09 Dec 2016