Arthur Gretton
101 papers
· 2005–2025
· 8 conferences
· across top CS/AI conferences
Achievements
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Keyword Pioneer
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Hot Topic Early Bird
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Conference Polyglot
(8)
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Renaissance Researcher
(9)
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Academic Marathon
(20)
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Interdisciplinary Bridge
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Cross-Pollinator
(11)
πΊοΈ
Taxonomy Completionist
(28)
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Conference Loyalist
(39)
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Keyword Trendsetter Combo
(13)
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Dynamic Duo
(14)
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Triple Crown
π¬
Deep Specialist
(17)
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Keyword Champion
π±
Topic Pioneer
ποΈ
Keyword Collector
(147)
π₯
Unstoppable
(21)
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Trend Setter
β‘
Prolific Year
(6)
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Conference Pioneer
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Century Club
(101)
Conferences
NIPS (39)
ICML (17)
AISTATS (15)
JMLR (15)
ICLR (8)
UAI (5)
ACL (1)
MIDL (1)
Top co-authors
Research topics
Keywords
kernel methods
(44)
reproducing kernel hilbert space
(29)
maximum mean discrepancy
(18)
two-sample test
(9)
nonparametric test
(9)
causal inference
(8)
bayesian inference
(7)
exponential family
(6)
statistical test
(6)
statistical testing
(6)
hypothesis testing
(6)
goodness-of-fit test
(5)
markov chain monte carlo
(4)
hilbert-schmidt independence criterion
(4)
independence testing
(4)
independence test
(4)
goodness of fit
(4)
nonparametric inference
(4)
density estimation
(4)
hilbert space embedding
(4)
Papers
Credal Two-Sample Tests of Epistemic Uncertainty
AISTATS 2025
Proxy Methods for Domain Adaptation
AISTATS 2024
Conditional Bayesian Quadrature
UAI 2024
MMD Aggregated Two-Sample Test
JMLR 2023
Importance Weighted Kernel Bayesβ Rule
ICML 2022
Deep Layer-wise Networks Have Closed-Form Weights
AISTATS 2022
KSD Aggregated Goodness-of-fit Test
NIPS 2022
Generalized Energy Based Models
ICLR 2021
A kernel test for quasi-independence
NIPS 2020
Maximum Mean Discrepancy Gradient Flow
NIPS 2019
Kernel Instrumental Variable Regression
NIPS 2019
Kernel Conditional Exponential Family
AISTATS 2018
Demystifying MMD GANs
ICLR 2018
On gradient regularizers for MMD GANs
NIPS 2018
A Kernel Test of Goodness of Fit
ICML 2016
Kernel Mean Shrinkage Estimators
JMLR 2016
Two-stage sampled learning theory on distributions
AISTATS 2015
Kernel Mean Estimation and Stein Effect
ICML 2014
Kernel Adaptive Metropolis-Hastings
ICML 2014
A Kernel Two-Sample Test
JMLR 2012
Kernel Belief Propagation
AISTATS 2011
Kernel Bayes' Rule
NIPS 2011
Nonparametric Tree Graphical Models
AISTATS 2010
Colored Maximum Variance Unfolding
NIPS 2007