Robust multivariate nonparametric tests via projection averaging I Kim, S Balakrishnan, L Wasserman
The Annals of Statistics 48 (6), 3417-3441, 2020
71 * 2020 Classification accuracy as a proxy for two-sample testing I Kim, A Ramdas, A Singh, L Wasserman
The Annals of Statistics 49 (1), 411-434, 2021
70 * 2021 Minimax optimality of permutation tests I Kim, S Balakrishnan, L Wasserman
The Annals of Statistics 50 (1), 225-251, 2022
53 2022 MMD aggregated two-sample test A Schrab, I Kim, M Albert, B Laurent, B Guedj, A Gretton
Journal of Machine Learning Research 24 (194), 1-81, 2021
38 2021 Global and local two-sample tests via regression I Kim, AB Lee, J Lei
Electronic Journal of Statistics 13 (2), 5253-5305, 2019
38 2019 Local permutation tests for conditional independence I Kim, M Neykov, S Balakrishnan, L Wasserman
The Annals of Statistics 50 (6), 3388-3414, 2022
25 2022 Efficient Aggregated Kernel Tests using Incomplete -statistics A Schrab, I Kim, B Guedj, A Gretton
Advances in Neural Information Processing Systems 35, 18793-18807, 2022
22 2022 Dimension-agnostic inference using cross U-statistics I Kim, A Ramdas
Bernoulli 30 (1), 683-711, 2024
18 * 2024 On cumulative residual entropy of order statistics S Park, I Kim
Statistics & Probability Letters 94, 170-175, 2014
18 2014 General cumulative Kullback–Leibler information S Park, HA Noughabi, I Kim
Communications in Statistics-Theory and Methods 47 (7), 1551-1560, 2018
17 2018 A permutation-free kernel two-sample test S Shekhar, I Kim, A Ramdas
Advances in Neural Information Processing Systems 35, 18168-18180, 2022
14 2022 Likelihood ratio tests for multivariate normality I Kim, S Park
Communications in Statistics-Theory and Methods 47 (8), 1923-1934, 2018
13 2018 Comparing a large number of multivariate distributions I Kim
Bernoulli 27 (1), 419-441, 2021
12 2021 Validation of approximate likelihood and emulator models for computationally intensive simulations N Dalmasso, A Lee, R Izbicki, T Pospisil, I Kim, CA Lin
International Conference on Artificial Intelligence and Statistics, 3349-3361, 2020
11 2020 Local two-sample testing: a new tool for analysing high-dimensional astronomical data PE Freeman, I Kim, AB Lee
Monthly Notices of the Royal Astronomical Society 471 (3), 3273-3282, 2017
11 2017 The projected covariance measure for assumption-lean variable significance testing AR Lundborg, I Kim, RD Shah, RJ Samworth
arXiv preprint arXiv:2211.02039, 2022
10 2022 Multinomial goodness-of-fit based on U-statistics: High-dimensional asymptotic and minimax optimality I Kim
Journal of Statistical Planning and Inference 205, 74-91, 2020
8 2020 Averaging p-values under exchangeability W Choi, I Kim
Statistics & Probability Letters 194, 109748, 2023
6 2023 A permutation-free kernel independence test S Shekhar, I Kim, A Ramdas
Journal of Machine Learning Research 24 (369), 1-68, 2023
5 2023 Randomized tests for high-dimensional regression: A more efficient and powerful solution Y Li, I Kim, Y Wei
Advances in Neural Information Processing Systems 33, 4721-4732, 2020
3 2020