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ORCIDAntonin Schrab
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2020 – today
- 2024
[i9]Roman Pogodin, Antonin Schrab, Yazhe Li, Danica J. Sutherland, Arthur Gretton:
Practical Kernel Tests of Conditional Independence. CoRR abs/2402.13196 (2024)- [i8]Antonin Schrab, Ilmun Kim:
Robust Kernel Hypothesis Testing under Data Corruption. CoRR abs/2405.19912 (2024) - [i7]Siu Lun Chau, Antonin Schrab, Arthur Gretton, Dino Sejdinovic, Krikamol Muandet:
Credal Two-Sample Tests of Epistemic Ignorance. CoRR abs/2410.12921 (2024) - 2023
- [j1]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) - [c3]Felix Biggs, Antonin Schrab, Arthur Gretton:
MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting. NeurIPS 2023 - [i6]Felix Biggs, Antonin Schrab, Arthur Gretton:
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting. CoRR abs/2306.08777 (2023) - [i5]Ilmun Kim, Antonin Schrab:
Differentially Private Permutation Tests: Applications to Kernel Methods. CoRR abs/2310.19043 (2023) - 2022
- [c2]Antonin Schrab, Benjamin Guedj, Arthur Gretton:
KSD Aggregated Goodness-of-fit Test. NeurIPS 2022 - [c1]Antonin Schrab, Ilmun Kim, Benjamin Guedj, Arthur Gretton:
Efficient Aggregated Kernel Tests using Incomplete $U$-statistics. NeurIPS 2022 - [i4]Antonin Schrab
, Benjamin Guedj, Arthur Gretton:
KSD Aggregated Goodness-of-fit Test. CoRR abs/2202.00824 (2022) - [i3]Antonin Schrab, Ilmun Kim, Benjamin Guedj, Arthur Gretton:
Efficient Aggregated Kernel Tests using Incomplete U-statistics. CoRR abs/2206.09194 (2022) - [i2]Antonin Schrab, Wittawat Jitkrittum, Zoltán Szabó, Dino Sejdinovic, Arthur Gretton:
Discussion of 'Multiscale Fisher's Independence Test for Multivariate Dependence'. CoRR abs/2206.11142 (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)
Coauthor Index
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