Antonin Schrab

According to our database, Antonin Schrab authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

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