Bio

I am a third year Ph.D. student at Gatsby under the supervision of Arthur Gretton. Prior to joining Gatsby, I graduated from Ecole polytechnique with a focus in Applied Mathematics and got a Masters Degree in Mathematics, Machine Learning and Computer Vision (MVA). I also worked as a Computer Vision Engineer at Chronocam. My work currently focuses on learning distributions. More details can be found in my resume.

News

11 / 2018
Talk at Cambridge-Tübingen workshop 2018 (Tenerife, Spain).
11 / 2018
Talk at Google Developer Group Reading & Thames Valley
10 / 2018
Microsoft Research PhD Summit 2018 (Redmond, USA)
07 / 2018
Best Poster Award at MSR AI Summer School 2018 (Cambridge, UK)
06 / 2018
Data Science Summer School 2018 (Palaiseau, France)
06 / 2018
Code Code for Scaled MMD-GAN is released.
09 / 2017
Data Science Summer School 2017 (Palaiseau, France)

Publications

On gradient regularizers for MMD GANs
Michael Arbel*, Dougal J. Sutherland*, Mikołaj Bińkowski and Arthur Gretton.
NeurIPS, 2018.
Demystifying MMD GANs
Mikołaj Bińkowski*, Dougal J. Sutherland*, Michael Arbel and Arthur Gretton.
ICLR, 2018
Kernel Conditional Exponential Family
Michael Arbel and Arthur Gretton.
AISTATS, 2018
Efficient and principled score estimation with Nyström kernel exponential families
Dougal J. Sutherland*, Heiko Strathmann*, Michael Arbel and Arthur Gretton.
AISTATS, 2018

Activities

Fall 2017-present
Fall 2017
Fall 2017