Workshop on Theory for Scalable, Modern Statistical methods

The workshop aims to bring together researchers working on new directions in modern statistical problems, including scalable computation, uncertainty quantification, high-dimensional structured models, non-linear inverse problems, causality, neural networks,… etc.

Location: Bocconi University, Milano
Time: 5th-7th of April, 2023

Confirmed speakers:
Chao Gao (Chicago)
Matteo Giordano (Oxford)
Marc Hoffmann (Paris Dauphin)
Richard Nickl (Cambridge)
Dennis Nieman (VU Amsterdam)
Ieva Kazlauskaite (Cambridge)
Alice L’Huillier (Sorbone)
Omiros Papaspiliopoulos (Bocconi)
Thibault Randrianarisoa (Bocconi)
Paul Rosa (Oxford University)
Bernhard Stankewitz (Bocconi)
Aad  van der Vaart (Delft)
Lasse  Vuursteen (Delft)

Schedule: TBA

For additional information please contact Botond Szabo (botond[dot]szabo[at]unibocconi[dot]it)

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