Arthur Gretton

Arthur Gretton

University College London

H-index: 70

Europe-United Kingdom

About Arthur Gretton

Arthur Gretton, With an exceptional h-index of 70 and a recent h-index of 52 (since 2020), a distinguished researcher at University College London, specializes in the field of generative models, causality, hypothesis testing, kernel methods, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Distributional Analogue to the Successor Representation

Mmd-fuse: Learning and combining kernels for two-sample testing without data splitting

Proxy Methods for Domain Adaptation

Practical Kernel Tests of Conditional Independence

Adapting to latent subgroup shifts via concepts and proxies

Causal Benchmark Based on Disentangled Image Dataset

Kernel methods for causal functions: dose, heterogeneous and incremental response curves

A kernel log-rank test of independence for right-censored data

Arthur Gretton Information

University

Position

Gatsby Computational Neuroscience Unit

Citations(all)

32165

Citations(since 2020)

20197

Cited By

19545

hIndex(all)

70

hIndex(since 2020)

52

i10Index(all)

141

i10Index(since 2020)

124

Email

University Profile Page

University College London

Google Scholar

View Google Scholar Profile

Arthur Gretton Skills & Research Interests

generative models

causality

hypothesis testing

kernel methods

machine learning

Top articles of Arthur Gretton

Title

Journal

Author(s)

Publication Date

A Distributional Analogue to the Successor Representation

arXiv preprint arXiv:2402.08530

Harley Wiltzer*

Jesse Farebrother*

Arthur Gretton

Yunhao Tang

André Barreto

...

2024/2/13

Mmd-fuse: Learning and combining kernels for two-sample testing without data splitting

Advances in Neural Information Processing Systems

Felix Biggs

Antonin Schrab

Arthur Gretton

2024/2/13

Proxy Methods for Domain Adaptation

Katherine Tsai

Stephen R Pfohl

Olawale Salaudeen

Nicole Chiou

Matt Kusner

...

2024/4/18

Practical Kernel Tests of Conditional Independence

arXiv preprint arXiv:2402.13196

Roman Pogodin

Antonin Schrab

Yazhe Li

Danica J Sutherland

Arthur Gretton

2024/2/20

Adapting to latent subgroup shifts via concepts and proxies

Ibrahim Alabdulmohsin

Nicole Chiou

Alexander D’Amour

Arthur Gretton

Sanmi Koyejo

...

2023/4/11

Causal Benchmark Based on Disentangled Image Dataset

Liyuan Xu

Arthur Gretton

2023

Kernel methods for causal functions: dose, heterogeneous and incremental response curves

Biometrika

Rahul Singh

Liyuan Xu

Arthur Gretton

2023/7/5

A kernel log-rank test of independence for right-censored data

Journal of the American Statistical Association

Tamara Fernández

Arthur Gretton

David Rindt

Dino Sejdinovic

2021/8/28

A kernel stein test of goodness of fit for sequential models

Jerome Baum

Heishiro Kanagawa

Arthur Gretton

2023/7/3

Towards optimal Sobolev norm rates for the vector-valued regularized least-squares algorithm

arXiv preprint arXiv:2312.07186

Zhu Li

Dimitri Meunier

Mattes Mollenhauer

Arthur Gretton

2023/12/12

Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images

arXiv preprint arXiv:2303.04862

Lisa M Koch

Christian M Schürch

Christian F Baumgartner

Arthur Gretton

Philipp Berens

2023/3/8

Fast and scalable score-based kernel calibration tests

Pierre Glaser

David Widmann

Fredrik Lindsten

Arthur Gretton

2023/7/2

Distributional Bellman Operators over Mean Embeddings

arXiv preprint arXiv:2312.07358

Li Kevin Wenliang

Grégoire Déletang

Matthew Aitchison

Marcus Hutter

Anian Ruoss

...

2023/12/9

The Costs and Benefits of Uniformly Valid Causal Inference with High-Dimensional Nuisance Parameters.............. Niloofar Moosavi, Jenny Häggström and Xavier de Luna 1 …

Statistical Science [ISSN 0883-4237 (print); ISSN 2168-8745 (online)]

Elvezio Ronchetti

Andrej Ilievski

Alessandra Giovagnoli

Isabella Verdinelli

Rajen D Shah

...

2023/2

A kernel Stein test for comparing latent variable models

Journal of the Royal Statistical Society Series B: Statistical Methodology

Heishiro Kanagawa

Wittawat Jitkrittum

Lester Mackey

Kenji Fukumizu

Arthur Gretton

2023/7

Kernel Single Proxy Control for Deterministic Confounding

arXiv preprint arXiv:2308.04585

Liyuan Xu

Arthur Gretton

2023/8/8

MMD aggregated two-sample test

Journal of Machine Learning Research

Antonin Schrab

Ilmun Kim

Mélisande Albert

Béatrice Laurent

Benjamin Guedj

...

2023

Prediction under Latent Subgroup Shifts with High-Dimensional Observations

arXiv preprint arXiv:2306.13472

William I Walker

Arthur Gretton

Maneesh Sahani

2023/6/23

Nonlinear meta-learning can guarantee faster rates

arXiv preprint arXiv:2307.10870

Dimitri Meunier

Zhu Li

Arthur Gretton

Samory Kpotufe

2023/7/20

On instrumental variable regression for deep offline policy evaluation

Journal of Machine Learning Research

Yutian Chen

Liyuan Xu

Caglar Gulcehre

Tom Le Paine

Arthur Gretton

...

2022

See List of Professors in Arthur Gretton University(University College London)

Co-Authors

H-index: 122
Nikos Logothetis

Nikos Logothetis

Stanford University

H-index: 104
Hans-Peter  Kriegel

Hans-Peter Kriegel

Ludwig-Maximilians-Universität München

H-index: 83
Le Song

Le Song

Georgia Institute of Technology

H-index: 63
Gert Lanckriet

Gert Lanckriet

University of California, San Diego

H-index: 38
Matthew Blaschko

Matthew Blaschko

Katholieke Universiteit Leuven

H-index: 37
Bharath Sriperumbudur

Bharath Sriperumbudur

Penn State University

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