Home | Events

12

Jun

Teaser image to Generalized Data Thinning Using Sufficient Statistics

 

Colloquium

Generalized Data Thinning Using Sufficient Statistics

Jacob Bien, University of Southern California, LA

   12.06.2023

   3:00 pm - 4:30 pm

   LMU Department of Statistics and via zoom

Sample splitting, a common tool in data science, faces limitations. A recent method, convolution-closed data thinning, offers an alternative when sample splitting isn't feasible. This talk explores sufficiency as a key principle, leading to a unified framework called generalized data thinning.

Related

Link to TBA

 

Colloquium  •  05.02.2025  •  LMU Department of Statistics and via zoom

TBA

Colloquium at the LMU Department of Statistics with Isabel Valera (Saarland University in Saarbrücken).

Link to TBA

 

Colloquium  •  29.01.2025  •  LMU Department of Statistics and via zoom

TBA

Colloquium at the LMU Department of Statistics with Sophie Langer (University of Twente).

Link to TBA

 

Colloquium  •  15.01.2025  •  LMU Department of Statistics and via zoom

TBA

Colloquium at the LMU Department of Statistics with Sonja Greven (HU Berlin).

Link to TBA

 

Colloquium  •  11.12.2024  •  LMU Department of Statistics and via zoom

TBA

Colloquium at the LMU Department of Statistics with Stijn Vansteelandt (Ghent University).

Link to The Mathematical Universe behind Deep Neural Networks

 

Munich AI Lectures  •  25.11.2024  •  Große Aula der LMU Geschwister-Scholl-Platz 1, Room 120 80539 München

The Mathematical Universe behind Deep Neural Networks

Join us on Nov 25 for Prof. Helmut Bölcskei’s lecture on the mathematical foundations driving deep neural networks, hosted by Bavarian AI at LMU.