Kim, Ilmun

10 publications

JMLR 2025 Minimax Optimal Two-Sample Testing Under Local Differential Privacy Jongmin Mun, Seungwoo Kwak, Ilmun Kim

AISTATS 2025 Robust Kernel Hypothesis Testing Under Data Corruption Antonin Schrab, Ilmun Kim

NeurIPS 2025 Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression Yeichan Kim, Ilmun Kim, Seyoung Park

ICML 2024 Enhancing Sufficient Dimension Reduction via Hellinger Correlation Seungbeom Hong, Ilmun Kim, Jun Song

JMLR 2023 A Permutation-Free Kernel Independence Test Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas

JMLR 2023 MMD Aggregated Two-Sample Test Antonin Schrab, Ilmun Kim, Mélisande Albert, Béatrice Laurent, Benjamin Guedj, Arthur Gretton

NeurIPS 2022 A Permutation-Free Kernel Two-Sample Test Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas

NeurIPS 2022 Efficient Aggregated Kernel Tests Using Incomplete $u$-Statistics Antonin Schrab, Ilmun Kim, Benjamin Guedj, Arthur Gretton

NeurIPS 2020 Randomized Tests for High-Dimensional Regression: A More Efficient and Powerful Solution Yue Li, Ilmun Kim, Yuting Wei

AISTATS 2020 Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations Niccolo Dalmasso, Ann Lee, Rafael Izbicki, Taylor Pospisil, Ilmun Kim, Chieh-An Lin