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SUMMARY:Summer School on the Mathematical Aspects of Data Science
DTSTART:20250901T090000
DTEND:20250905T120000
DTSTAMP:20260317T101906Z
UID:e46a1b55cd9c0f1246c926c2ba61a63001bf09ebeb3fb5748e98cec1
CATEGORIES:Conferences - Seminars
DESCRIPTION:\n	Francis Bach (INRIA) - Structured prediction: supervised l
 earning beyond binary classification\n	Afonso S. Bandeira (ETH Zürich) -
  Random matrices and tensor PCA\n	Stéphane Mallat (Collège de France) -
  Image generation from score diffusion to renormalisation group in physics
 \n	Andrea Montanari (Stanford University) - Feature learning and overfitt
 ing\n	Gabriel Peyré (ENS) - Diffusion flows and optimal transport in mac
 hine learning\n\nThis summer school is part of the Bernoulli Center progra
 mme at EPFL\, to be held from 1 to 5 September 2025.\nThe 2025 Summer Scho
 ol on the Mathematical Foundations of Data Science is designed for MSc and
  PhD students interested in the theoretical underpinnings of data science.
  As the second installment of a rotating international series (following t
 he 2024 edition in Australia and preceding the 2026 edition in Singapore)\
 , the school offers a unique opportunity to learn from leading researchers
  at the interface of mathematics and machine learning. The confirmed speak
 ers are Francis Bach\, Afonso S. Bandeira\, Stéphane Mallat\, Andrea Mont
 anari and Gabriel Peyré\, who will cover topics ranging from structured p
 rediction and random matrix theory to image generation\, overfitting\, and
  optimal transport. Participants can expect a rich program combining found
 ational insights with cutting-edge developments.
LOCATION:GA 3 31 https://plan.epfl.ch/?room==GA%203%2031 https://mathsdata
 2025.github.io/
STATUS:CONFIRMED
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