Workshop: Recent developments beyond classical regimes in statistical learning

This workshop is focused on recent results on high-dimensional (supervised and unsupervised) machine learning and statistical inference. It will in particular involve a round-table debate with top experts on this domain about the major open problems on the field and some promising trends and recent developments.

*This is a joint workshop with the CIMI Thematic Semester "Stochastic control and learning for complex networks"

List of confirmed speakers (other speakers will soon be announced): 

Keynote speakers

• Lenka Zdeborová (EPFL, Switzerland) : keynote speaker
• Francis Bach (INRIA, France): keynote speaker

Speakers

• Jean Barbier (ICTP, Italy)
• Giulio Biroli (ENS, France)
• Charles Bordenave (IMM, France)
• Zhou Fan (Yale U., USA)
• Yan Fyodorov (KCL, UK)
• Quanquan Gu (UCLA, USA)
• Daniel Hsu (Columbia U., USA)
• Aukosh Jagannath (Waterloo U., Canada)
• Jonathan P. Keating (Oxford U., UK)
• Marc Lelarge (ENS, France)
• Cosme Louart ( Hong Kong U., China)
• Bruno Loureiro (ENS, France)
• Pascal Maillard (IMT, France)
• Valentina Ros (Paris-Saclay U., France)
• Subhabrata Sen (Harvard U., USA)
• Beatriz Seoane (Paris-Saclay U., France)
• Pragya Sur (Harvard U., USA)
• Malik Tiomoko (Huawei)
• Christos Thrampoulidis (British Columbia U., Canada)
• Pierfrancesco Urbani (IPHT, France)
• Yizhe Zhu (California Irvine U., USA)

More details coming soon.