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)
Botond Szabo 
The focus on scalable computation for high-dimensional models is so crucial as datasets grow ever more complex. It’s encouraging to see workshops tackle the practical math behind modern methods.
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