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 2:15-5PM at 90 University Private |
Tutorial by Johannes Balle |
Excursion to Gatineau Park | 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 |
Dinner |
Detailed Schedule
* See abstracts of tutorials on this page.
Sunday, 28 July:
14:15 - 17:00: (90 University Private) Check-in Desk Open
17:30 - 21:30: (by shuttle) Reception on Ottawa River Cruise
Monday, 29 July: (Desmarais Hall, 55 Laurier Avenue East, Room 12102)
9:00 - 12:15: Meir Feder, Addressing Large Models: Multiple and Hierarchical Universality (ITSoc Padovani Lecture)
14:15 - 15:45: Johannes Balle, Learned Data Compression, and New Solutions to Old Problems
16:00 - 17:30: Hamed Hassani, Conformal Prediction: Old and NewTuesday, 30 July:
9:00 - 12:15: (Desmarais Hall, 55 Laurier Avenue East, Room 12102) Flavio Calmon, A World of Divergences
14:15 - 17:30: (by shuttle) Excursion to Gatineau Park
Wednesday, 31 July: (Desmarais Hall, 55 Laurier Avenue East, Room 12102)
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
17:30 - 21:30: Dinner
Thursday, 1 August: (Desmarais Hall, 55 Laurier Avenue East, Room 12102)
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 LearningFriday, 2 August: (Desmarais Hall, 55 Laurier Avenue East, Room 12102)
9:00 - 12:15: Yingbin Liang, Theory on Transformer Training