Scholar
Arthur Gretton
Google Scholar ID: OUv7J6QAAAAJ
Gatsby Computational Neuroscience Unit and Google Deepmind
Citations & Impact
Citations
26,689
H-index
60
i10-index
136
Publications
20
Co-authors
96
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers including 'Regularized least squares learning with heavy-tailed noise is minimax optimal', 'On the Hardness of Conditional Independence Testing In Practice', 'Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings', and more. Presented or published at conferences such as NeurIPS, SIAM Journal on Mathematics of Data Science, ACL, Bernoulli, UAI, AISTATS, etc.
Research Experience
- Professor at the Gatsby Computational Neuroscience Unit; Director of the Centre for Computational Statistics and Machine Learning at UCL; Research Scientist at Google Deepmind.
Background
- Professor at the Gatsby Computational Neuroscience Unit; director of the Centre for Computational Statistics and Machine Learning at UCL; and a Research Scientist at Google Deepmind. Recent research interests in machine learning include causal inference and representation learning, design and training of implicit and explicit generative models, and nonparametric hypothesis testing.
Miscellany
- Contact: arthur.gretton@gmail.com
