Anna Korba

About me

Since September 2020, I am an assistant professor at ENSAE/ CREST in the Statistics Department.

My main line of research is machine learning. I have been working on kernel methods, optimal transport, optimisation, particle systems and preference learning. At the moment I am particularly interested in sampling and optimisation methods.

I am also a co-administrator of the Master Data Science of Ecole Polytechnique.


With my academic activities, I am lucky to work closely with the following people:


  • July 2024: 2 papers accepted at ICML 2024; the first on tempering with my colleagues Nicolas Chopin and Francesca Crucinio; the second on variational inference with mixtures of Gaussians with Tom Huix, Alain Durmus, Eric Moulines.

  • July 2024: 1 paper accepted at UAI 2024, on regularized importance-weighted estimators for off-policy learning and evaluation, with Imad Aouali, Victor-Emmanuel Brunel, David Rohde.

  • February 2024: New preprint with Imad Aouali, Victor-Emmanuel Brunel, David Rohde; on off-policy learning and evaluation in a Bayesian framework using structured priors.


From December 2018 to August 2020 I was a postdoctoral researcher at Gatsby Unit, University College London (UCL), working with Arthur Gretton.
From October 2015 to October 2018, I was a PhD student at Télécom ParisTech, in the S2A (Signal, Statistics and Learning) team, supervised by Stephan Clémençon .
Before that in 2015, I graduated the Master MVA (Machine Learning and Computer Vision) from ENS Cachan and ENSAE.

More details can be found in my resume [EN].