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A Kernel Method for the Two-Sample Problem

A Kernel Method for the Two-Sample Problem

15 May 2008
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
ArXivPDFHTML

Papers citing "A Kernel Method for the Two-Sample Problem"

30 / 30 papers shown
Title
Autoencoding Random Forests
Autoencoding Random Forests
Binh Duc Vu
Jan Kapar
Marvin N. Wright
David S. Watson
55
0
0
27 May 2025
Kernel Quantile Embeddings and Associated Probability Metrics
Kernel Quantile Embeddings and Associated Probability Metrics
Masha Naslidnyk
Siu Lun Chau
F. Briol
Krikamol Muandet
38
0
0
26 May 2025
The Role of Video Generation in Enhancing Data-Limited Action Understanding
The Role of Video Generation in Enhancing Data-Limited Action Understanding
Wei Li
Dezhao Luo
Dongbao Yang
Zhenhang Li
Weiping Wang
Yu Zhou
DiffM
VGen
123
0
0
26 May 2025
Dynamic Dual Buffer with Divide-and-Conquer Strategy for Online Continual Learning
Dynamic Dual Buffer with Divide-and-Conquer Strategy for Online Continual Learning
Congren Dai
Huichi Zhou
Jiahao Huang
Zhenxuan Zhang
Fanwen Wang
Guang Yang
Fei Ye
85
0
0
23 May 2025
Integral Imprecise Probability Metrics
Integral Imprecise Probability Metrics
Siu Lun Chau
Michele Caprio
Krikamol Muandet
30
0
0
22 May 2025
Proper scoring rules for estimation and forecast evaluation
Proper scoring rules for estimation and forecast evaluation
Kartik Waghmare
Johanna Ziegel
AI4TS
124
0
0
02 Apr 2025
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
Kyeongkook Seo
Dong-Jun Han
Jaejun Yoo
70
0
0
11 Mar 2025
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity
Nesryne Mejri
Enjie Ghorbel
Anis Kacem
Pavel Chernakov
Niki Maria Foteinopoulou
Djamila Aouada
86
0
0
28 Feb 2025
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation
Lingkun Luo
Shiqiang Hu
Liming Chen
111
0
0
10 Feb 2025
Expert-elicitation method for non-parametric joint priors using normalizing flows
Expert-elicitation method for non-parametric joint priors using normalizing flows
F. Bockting
Stefan T. Radev
Paul-Christian Bürkner
BDL
126
1
0
24 Nov 2024
Ergodic Trajectory Optimization on Generalized Domains Using Maximum Mean Discrepancy
Ergodic Trajectory Optimization on Generalized Domains Using Maximum Mean Discrepancy
Christian Hughes
Houston Warren
Darrick Lee
Fabio Ramos
Ian Abraham
54
1
0
14 Oct 2024
Fast Summation of Radial Kernels via QMC Slicing
Fast Summation of Radial Kernels via QMC Slicing
Johannes Hertrich
Tim Jahn
Michael Quellmalz
31
5
0
02 Oct 2024
Sequential Kernelized Stein Discrepancy
Sequential Kernelized Stein Discrepancy
Diego Martinez-Taboada
Aaditya Ramdas
86
0
0
26 Sep 2024
Generalizability of experimental studies
Generalizability of experimental studies
Federico Matteucci
Vadim Arzamasov
Jose Cribeiro-Ramallo
Marco Heyden
Konstantin Ntounas
Klemens Bohm
68
0
0
25 Jun 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
Enhancing Domain Adaptation through Prompt Gradient Alignment
Hoang Phan
Lam C. Tran
Quyen Tran
Trung Le
70
0
0
13 Jun 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Georg Manten
Cecilia Casolo
E. Ferrucci
Søren Wengel Mogensen
C. Salvi
Niki Kilbertus
CML
BDL
119
11
0
28 Feb 2024
Metric Space Magnitude for Evaluating the Diversity of Latent Representations
Metric Space Magnitude for Evaluating the Diversity of Latent Representations
K. Limbeck
R. Andreeva
Rik Sarkar
Bastian Rieck
97
3
0
27 Nov 2023
Interpretability-Aware Vision Transformer
Interpretability-Aware Vision Transformer
Yao Qiang
Chengyin Li
Prashant Khanduri
D. Zhu
ViT
128
7
0
14 Sep 2023
Spectral Regularized Kernel Goodness-of-Fit Tests
Spectral Regularized Kernel Goodness-of-Fit Tests
Omar Hagrass
Bharath K. Sriperumbudur
Bing Li
47
4
0
08 Aug 2023
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection
Jaemin Yoo
Lingxiao Zhao
Leman Akoglu
51
4
0
21 Jun 2023
Compress Then Test: Powerful Kernel Testing in Near-linear Time
Compress Then Test: Powerful Kernel Testing in Near-linear Time
Carles Domingo-Enrich
Raaz Dwivedi
Lester W. Mackey
68
9
0
14 Jan 2023
Composite Goodness-of-fit Tests with Kernels
Composite Goodness-of-fit Tests with Kernels
Oscar Key
Arthur Gretton
F. Briol
T. Fernandez
51
15
0
19 Nov 2021
Agent Modelling under Partial Observability for Deep Reinforcement
  Learning
Agent Modelling under Partial Observability for Deep Reinforcement Learning
Georgios Papoudakis
Filippos Christianos
Stefano V. Albrecht
47
62
0
16 Jun 2020
OpenGAN: Open Set Generative Adversarial Networks
OpenGAN: Open Set Generative Adversarial Networks
Luke Ditria
Benjamin J. Meyer
Tom Drummond
VLM
AI4CE
GAN
71
20
0
18 Mar 2020
Sinkhorn Divergences for Unbalanced Optimal Transport
Sinkhorn Divergences for Unbalanced Optimal Transport
Thibault Séjourné
Jean Feydy
Franccois-Xavier Vialard
A. Trouvé
Gabriel Peyré
OT
52
74
0
28 Oct 2019
Balanced Policy Evaluation and Learning
Balanced Policy Evaluation and Learning
Nathan Kallus
CML
OffRL
188
141
0
21 May 2017
Central Moment Discrepancy (CMD) for Domain-Invariant Representation
  Learning
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning
Werner Zellinger
Thomas Grubinger
E. Lughofer
T. Natschläger
Susanne Saminger-Platz
OOD
77
566
0
28 Feb 2017
Generalized Optimal Matching Methods for Causal Inference
Generalized Optimal Matching Methods for Causal Inference
Nathan Kallus
93
108
0
26 Dec 2016
Minimax Estimation of Kernel Mean Embeddings
Minimax Estimation of Kernel Mean Embeddings
Ilya O. Tolstikhin
Bharath K. Sriperumbudur
Krikamol Muandet
27
85
0
13 Feb 2016
Testing for Homogeneity with Kernel Fisher Discriminant Analysis
Testing for Homogeneity with Kernel Fisher Discriminant Analysis
Zaïd Harchaoui
Francis R. Bach
Eric Moulines
69
118
0
07 Apr 2008
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