| 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 | 69* | 2021 |
| Minimax optimality of permutation tests I Kim, S Balakrishnan, L Wasserman The Annals of Statistics 50 (1), 225-251, 2022 | 53 | 2022 |
| 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 |
| 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 | 36 | 2021 |
| Local permutation tests for conditional independence I Kim, M Neykov, S Balakrishnan, L Wasserman The Annals of Statistics 50 (6), 3388-3414, 2022 | 24 | 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 |
| On cumulative residual entropy of order statistics S Park, I Kim Statistics & Probability Letters 94, 170-175, 2014 | 18 | 2014 |
| Dimension-agnostic inference using cross U-statistics I Kim, A Ramdas Bernoulli 30 (1), 683-711, 2024 | 17* | 2024 |
| 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 | 7 | 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 |
