Antonin Schrab

According to our database, Antonin Schrab authored at least 14 papers between 2022 and 2026.

Collaborative distances:

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

2026

Regularized f-Divergence Kernel Tests.

Mónica Ribero, Antonin Schrab, Arthur Gretton

CoRR, January, 2026

2025

DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing.

Zhijian Zhou, Xunye Tian, Liuhua Peng, Chao Lei, Antonin Schrab, Danica J. Sutherland, Feng Liu

CoRR, October, 2025

A Unified View of Optimal Kernel Hypothesis Testing.

Antonin Schrab

CoRR, March, 2025

A Practical Introduction to Kernel Discrepancies: MMD, HSIC & KSD.

Antonin Schrab

CoRR, March, 2025

Robust Kernel Hypothesis Testing under Data Corruption.

Antonin Schrab, Ilmun Kim

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Credal Two-Sample Tests of Epistemic Uncertainty.

Siu Lun Chau, Antonin Schrab, Arthur Gretton, Dino Sejdinovic, Krikamol Muandet

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Credal Two-Sample Tests of Epistemic Ignorance.

Siu Lun Chau, Antonin Schrab, Arthur Gretton, Dino Sejdinovic, Krikamol Muandet

CoRR, 2024

Practical Kernel Tests of Conditional Independence.

Roman Pogodin, Antonin Schrab, Yazhe Li, Danica J. Sutherland, Arthur Gretton

CoRR, 2024

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

MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting.

Felix Biggs, Antonin Schrab, Arthur Gretton

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Discussion of 'Multiscale Fisher's Independence Test for Multivariate Dependence'.

Antonin Schrab, Wittawat Jitkrittum, Zoltán Szabó, Dino Sejdinovic, Arthur Gretton

CoRR, 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

KSD Aggregated Goodness-of-fit Test.

Antonin Schrab, Benjamin Guedj, Arthur Gretton

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