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Comparing distributions: $\ell_1$ geometry improves kernel two-sample
  testing
v1v2 (latest)

Comparing distributions: ℓ1\ell_1ℓ1​ geometry improves kernel two-sample testing

Neural Information Processing Systems (NeurIPS), 2019
19 September 2019
M. Scetbon
Gaël Varoquaux
ArXiv (abs)PDFHTML

Papers citing "Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing"

7 / 7 papers shown
Anchor-based Maximum Discrepancy for Relative Similarity Testing
Anchor-based Maximum Discrepancy for Relative Similarity Testing
Zhijian Zhou
Liuhua Peng
Xunye Tian
Yifan Zhang
163
0
0
12 Oct 2025
Synthetic Power Analyses: Empirical Evaluation and Application to
  Cognitive Neuroimaging
Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive NeuroimagingAsilomar Conference on Signals, Systems and Computers (ACSSC), 2019
Peiye Zhuang
Bliss Chapman
Ran Li
Oluwasanmi Koyejo
153
1
0
11 Oct 2022
The "Beatrix'' Resurrections: Robust Backdoor Detection via Gram
  Matrices
The "Beatrix'' Resurrections: Robust Backdoor Detection via Gram MatricesNetwork and Distributed System Security Symposium (NDSS), 2022
Wanlun Ma
Derui Wang
Ruoxi Sun
Minhui Xue
S. Wen
Yang Xiang
AAML
443
116
0
23 Sep 2022
An Asymptotic Test for Conditional Independence using Analytic Kernel
  Embeddings
An Asymptotic Test for Conditional Independence using Analytic Kernel EmbeddingsInternational Conference on Machine Learning (ICML), 2021
M. Scetbon
Laurent Meunier
Yaniv Romano
292
17
0
28 Oct 2021
Equitable and Optimal Transport with Multiple Agents
Equitable and Optimal Transport with Multiple Agents
M. Scetbon
Laurent Meunier
Jamal Atif
Marco Cuturi
OT
259
2
0
12 Jun 2020
Learning Kernel Tests Without Data Splitting
Learning Kernel Tests Without Data SplittingNeural Information Processing Systems (NeurIPS), 2020
Jonas M. Kubler
Wittawat Jitkrittum
Bernhard Schölkopf
Krikamol Muandet
335
27
0
03 Jun 2020
Testing Goodness of Fit of Conditional Density Models with Kernels
Testing Goodness of Fit of Conditional Density Models with KernelsConference on Uncertainty in Artificial Intelligence (UAI), 2020
Wittawat Jitkrittum
Heishiro Kanagawa
Bernhard Schölkopf
276
29
0
24 Feb 2020
1
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