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ORCIDIlmun Kim
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2020 – today
- 2024
[c5]Seungbeom Hong, Ilmun Kim, Jun Song:
Enhancing Sufficient Dimension Reduction via Hellinger Correlation. ICML 2024- [i9]Seungbeom Hong, Ilmun Kim, Jun Song:
Enhancing Sufficient Dimension Reduction via Hellinger Correlation. CoRR abs/2405.19704 (2024) - [i8]Antonin Schrab, Ilmun Kim:
Robust Kernel Hypothesis Testing under Data Corruption. CoRR abs/2405.19912 (2024) - [i7]Ikjun Choi, Ilmun Kim:
Computational-Statistical Trade-off in Kernel Two-Sample Testing with Random Fourier Features. CoRR abs/2407.08976 (2024) - 2023
- [j2]Antonin Schrab, Ilmun Kim, Mélisande Albert, Béatrice Laurent, Benjamin Guedj, Arthur Gretton:
MMD Aggregated Two-Sample Test. J. Mach. Learn. Res. 24: 194:1-194:81 (2023) - [j1]Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas:
A Permutation-Free Kernel Independence Test. J. Mach. Learn. Res. 24: 369:1-369:68 (2023) - [i6]Ilmun Kim, Antonin Schrab:
Differentially Private Permutation Tests: Applications to Kernel Methods. CoRR abs/2310.19043 (2023) - 2022
- [c4]Antonin Schrab, Ilmun Kim, Benjamin Guedj, Arthur Gretton:
Efficient Aggregated Kernel Tests using Incomplete $U$-statistics. NeurIPS 2022 - [c3]Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas:
A permutation-free kernel two-sample test. NeurIPS 2022 - [i5]Antonin Schrab, Ilmun Kim, Benjamin Guedj
, Arthur Gretton:
Efficient Aggregated Kernel Tests using Incomplete U-statistics. CoRR abs/2206.09194 (2022) - [i4]Ilmun Kim:
Comments on "Testing Conditional Independence of Discrete Distributions". CoRR abs/2207.02819 (2022) - [i3]Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas:
A Permutation-free Kernel Two-Sample Test. CoRR abs/2211.14908 (2022) - [i2]Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas:
A Permutation-Free Kernel Independence Test. CoRR abs/2212.09108 (2022) - 2021
- [i1]Antonin Schrab, Ilmun Kim, Mélisande Albert, Béatrice Laurent, Benjamin Guedj, Arthur Gretton:
MMD Aggregated Two-Sample Test. CoRR abs/2110.15073 (2021) - 2020
- [c2]Niccolò Dalmasso, Ann B. Lee, Rafael Izbicki, Taylor Pospisil, Ilmun Kim, Chieh-An Lin:
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations. AISTATS 2020: 3349-3361 - [c1]Yue Li, Ilmun Kim, Yuting Wei:
Randomized tests for high-dimensional regression: A more efficient and powerful solution. NeurIPS 2020
Coauthor Index
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