Information theory and machine learning have long been related in fruitful ways.

The LITH workshop brings together researchers working in these areas, identifying directions and tools that can lead to new fundamental advancements in each field.

LITH is expected to be biennal at EPFL, before or after the Zurich Seminar (IZS). 

Program 2026

Monday, February 23 from 9:00-17:30 and Tuesday, February 24 from 9:00-12:30

Confirmed Speakers

Morgane Austern, Harvard University
Shirin Saeedi Bidokhti, University of Pennsylvania
Gautam Dasarathy, Arizona State University
Meir Feder, Tel Aviv University
Varun Jog, University of Cambridge
Samory Kpotufe, Columbia University
Yury Polyanskiy, MIT
David Steurer, ETHZ
Vincent Tan, NUS
Marco Tomamichel, NUS
Ramji Venkataramanan, University of Cambridge

Program 2024

Monday March 4

9:00-9:40Marco Mondelli
9:40-10:20Afonso S. Bandeira
Break
10:50-11:30Fanny Yang
11:30-12:10Jaouad Mourtada
Lunch
14:00-14:40Lenka Zdeborova
14:40-15:20Laurent Massoulie
Break
15:50-16:30Surprise Speaker
Discussions
20:00Dinner

Tuesday March 5

9:00-9:40Yihong Wu
9:40-10:20Cynthia G. Rush
Break
10:50-11:30Jean Barbier
11:30-12:10Ziv Goldfeld
(12:10: end of the workshop)