Schedule Overview

Sunday
2024-07-28
Monday
2024-07-29
Tuesday
2024-07-30
Wednesday
2024-07-31
Thursday
2024-08-01
Friday
2024-08-02
9:00AM - 12:15PM Tutorial by
Meir Feder
Tutorial by
Flavio Calmon
Tutorial by
Yuejie Chi
Tutorial by
Oliver Kosut
Tutorial by
Yingbin Liang
12:15PM - 2:15PM Poster/Lunch Poster/Lunch Poster/Lunch Poster/Lunch
2:15PM - 3:45PM Check-in Desk
Open
Tutorial by
Johannes Balle
excursion Tutorial by
Mohammad Ali Maddah-Ali
Tutorial by
Gauri Joshi
4:00PM - 5:30PM Tutorial by
Hamed Hassani
Tutorial by
Anand Sarwate
Tutorial by
Jun Chen
5:30PM - 9:30PM Reception on
Ottawa River Cruise
Social Event

Detailed Program (To Be Updated)

* See abstracts of tutorials on this page.

  • Monday, 29 July:
    9:00 - 12:15: Meir Feder, Addressing Large Models: Multiple and Hierarchical Universality
    14:15 - 15:45: Johannes Balle, Learned Data Compression, and New Solutions to Old Problems
    16:00 - 17:30: Hamed Hassani, TBD

  • Tuesday, 30 July:
    9:00 - 12:15: Flavio Calmon, TBD

  • Wednesday, 31 July:
    9:00 - 12:15: Yuejie Chi, Generative Priors in Data Science: From Low-rank to Diffusion Models
    14:15 - 15:45: Mohammad Ali Maddah-Ali, Blockchains, Decentralized Learning, and Game of Coding
    16:00 - 17:30: Anand Sarwate, Learning with Structured Tensor Decompositions

  • Thursday, 1 August:
    9:00 - 12:15: Oliver Kosut, An Information-theoretic Perspective on Privacy Measures
    14:15 - 15:45: Gauri Joshi, Federated Learning in the Presence of Data, Communication and Computational Heterogeneity
    16:00 - 17:30: Jun Chen, Lossy Data Compression using Deep Learning

  • Friday, 2 August:
    9:00 - 12:15: Yingbin Liang, Theory on Transformer Training