Ilmun Kim

According to our database, Ilmun Kim authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

General Frameworks for Conditional Two-Sample Testing.

Seongchan Lee, Suman Cha, Ilmun Kim

CoRR, 2024

Computational-Statistical Trade-off in Kernel Two-Sample Testing with Random Fourier Features.

Ikjun Choi, Ilmun Kim

CoRR, 2024

Robust Kernel Hypothesis Testing under Data Corruption.

Antonin Schrab, Ilmun Kim

CoRR, 2024

Enhancing Sufficient Dimension Reduction via Hellinger Correlation.

Seungbeom Hong, Ilmun Kim, Jun Song

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A Permutation-Free Kernel Independence Test.

Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas

J. Mach. Learn. Res., 2023

MMD Aggregated Two-Sample Test.

Antonin Schrab, Ilmun Kim, Mélisande Albert, Béatrice Laurent, Benjamin Guedj, Arthur Gretton

J. Mach. Learn. Res., 2023

Differentially Private Permutation Tests: Applications to Kernel Methods.

Ilmun Kim, Antonin Schrab

CoRR, 2023

2022

Comments on "Testing Conditional Independence of Discrete Distributions".

Ilmun Kim

CoRR, 2022

A permutation-free kernel two-sample test.

Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Aggregated Kernel Tests using Incomplete $U$-statistics.

Antonin Schrab, Ilmun Kim, Benjamin Guedj, Arthur Gretton

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Randomized tests for high-dimensional regression: A more efficient and powerful solution.

Yue Li, Ilmun Kim, Yuting Wei

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations.

Niccolò Dalmasso, Ann B. Lee, Rafael Izbicki, Taylor Pospisil, Ilmun Kim, Chieh-An Lin

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020