Supported by the Walmart Center for Tech Excellence.
The goal of this lecture series is to take a deep dive into topics at the interface of modern algorithms and machine learning. Our focus will be on recent advances and challenging open problems in these areas. Delivered by leading experts, the lectures will cover relevant background and thoroughly cover technical details.
Venue: CSA 104, Indian Institute of Science (IISc)
Date: December 15-16, 2024
Live Streaming: https://youtube.com/live/zF1TcKYGObI?feature=share
For more information, contact us at algorithms.iisc@gmail.com.
Session | Time | Event |
---|---|---|
Day 1 - December 15th | ||
Day-1 Afternoon | 02:00PM - 02:45PM | David Woodruff [Intro to Sketching] |
02:50PM - 03:35PM | Amit Chakrabarti [Streaming algorithms for graph problems] | |
Coffee Break (03:35PM - 03:55PM) | ||
Day-1 Afternoon | 03:55PM - 04:55PM | Chris Schwiegelshohn [Introduction to Coresets] |
Day 2 - December 16th | ||
Day-2 Morning | 10:00AM - 10:45AM | David Woodruff [Hyperattention] |
10:50AM - 11:35AM | Amit Chakrabarti [Adversarially robust streaming and the role of randomness] | |
Coffee Break (11:35AM - 11:55AM) | ||
Day-2 Morning | 11:55AM - 12:55PM | Yusu Wang [Graph neural networks: Theoretical understanding and limitations] |