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Antonin Schrab
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2020 – today
- 2026
[i13]Mónica Ribero, Antonin Schrab, Arthur Gretton:
Regularized f-Divergence Kernel Tests. CoRR abs/2601.19755 (2026)- 2025
[c5]Siu Lun Chau, Antonin Schrab, Arthur Gretton, Dino Sejdinovic, Krikamol Muandet:
Credal Two-Sample Tests of Epistemic Uncertainty. AISTATS 2025: 127-135
[c4]Antonin Schrab, Ilmun Kim:
Robust Kernel Hypothesis Testing under Data Corruption. AISTATS 2025: 2629-2637
[i12]Antonin Schrab:
A Practical Introduction to Kernel Discrepancies: MMD, HSIC & KSD. CoRR abs/2503.04820 (2025)
[i11]Antonin Schrab:
A Unified View of Optimal Kernel Hypothesis Testing. CoRR abs/2503.07084 (2025)
[i10]Zhijian Zhou, Xunye Tian, Liuhua Peng, Chao Lei, Antonin Schrab, Danica J. Sutherland, Feng Liu:
DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing. CoRR abs/2510.11140 (2025)- 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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last updated on 2026-02-27 23:45 CET by the dblp team
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