Lenka sent me the following the other day:
Dear Colleagues and Friends,
This is the announcement and call for participants of the workshop and advanced school "Statistical physics and machine learning back together" that will take place in Cargese, Corsica, France during August 20-31, 2018. Please forward this to your colleagues/students that may be interested.
Researchers, students and postdocs interested to participate in the event are invited to apply on the website http://cargese.krzakala.org
(or http://www.lps.ens.fr/~krzakala/WEBSITE_Cargese2018/home.htm ) by February 28st, 2018.
The capacity of the Cargese amphitheatre is limited, due to this constraint participants will be selected from the applicants.
The main goal of this event is to gather the community of researchers working on questions that relate in some way statistical physics and high dimensional statistical inference and learning. The format will be several (~10) 3h introductory lectures, and about thrice as many invited talks.
The topics include:
- Energy/loss landscapes in disordered systems, machine learning and inference problems
- Computational and statistical thresholds and trade-offs
- Theory of artificial multilayer neural networks
- Rigorous approaches to spin glasses and related models of statistical inference
- Parallels between optimisation algorithms and dynamics in physics
- Vindicating the replica and cavity method rigorously
- Current trends in variational Bayes inference
- Developments in message passing algorithms
- Applications on machine learning in physics
- Information processing in biological systems
Lecturers:
- Gerard Ben Arous (Courant Institute)
- Giulio Biroli (CEA Saclay, France)
- Nicolas Brunel (Duke University)
- Yann LeCun (Courant Institute and Facebook)
- Michael Jordan (UC Berkeley)
- Stephane Mallat (ENS et college de France)
- Andrea Montanari (Stanford)
- Dmitry Panchenko (University of Toronto, Canada)
- Sundeep Rangan (New York University)
- Riccardo Zecchina (Politecnico Turin, Italy)
Speakers:
- Antonio C Auffinger (Northwestern University)
- Afonso Bandeira (Courant Institute, NYU)
- Jean Barbier (Queens Mary, London)
- Quentin Berthet (Cambridge UK)
- Jean-Philippe Bouchaud (CFM, Paris)
- Joan Bruna (Courant Institute, NYU)
- Patrick Charbonneau (Duke)
- Amir Dembo (Stanford)
- Allie Fletcher (UCLA)
- Silvio Franz (Paris-Orsay)
- Surya Ganguli (Stanford)
- Alice Guionnet (ENS Lyon)
- Aukosh Jagganath (Harvard)
- Yoshiyuki Kabashima (Tokyo Tech)
- Christina Lee (MIT)
- Marc Lelarge (ENS, Paris)
- Tengyu Ma (Princeton)
- Marc Mezard (ENS, Paris)
- Leo Miolane (ENS, Paris)
- Remi Monasson (ENS, Paris)
- Cristopher Moore (Santa Fe Institute)
- Giorgio Parisi (Roma La Sapienza)
- Will Perkins (Birmingham)
- Federico Ricci-Tersenghi (Roma La Sapienza)
- Cindy Rush (Columbia Univ.)
- Levent Sagun (CEA Saclay)
- S. S. Schoenholz (Google Brain)
- Phil Schniter (Ohio State University)
- David Jason Schwab (Northwestern University)
- Guilhem Semerjian (ENS, Paris)
- Alexandre Tkatchenko (University of Luxembourg)
- Naftali Tishby (Hebrew University)
- Pierfrancesco Urbani (CNRS, Paris)
- Francesco Zamponi (ENS, Paris)
With best regards the organizers
Florent Krzakala and Lenka Zdeborova
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