Description:
The Vector Distinguished Talk series is a formal gathering of academic and industrial data scientists across the Greater Toronto Area (GTA) to discuss advanced topics in machine learning and its goal is to build a stronger machine learning community in Toronto.
The talks will be given by international and local faculty and industry professionals. The seminar series is intended for university faculty and graduate students in machine learning across computer science, ECE, statistics, mathematics, linguistics, and medicine, as well as PhD-level data scientists doing interesting applied research in the GTA. The Toronto machine learning community will be stronger when we know each other and know what problems people are working on.
Vector Distinguished Lecture Series is currently open to the public remotely. Researchers in the Vector community will have opportunities to meet speakers in person. All talks will be streamed online and be posted on the Vector YouTube Channel.
Sessions:
Name | Speakers |
---|---|
Friday, October 11, 2024 | |
Improving AI Decision Support with Interpretability and Interaction (Virtual) | Finale Doshi-Velez |
Wednesday, November 6, 2024 | |
Symbolic, Statistical and Causal AI | Bernhard Schölkopf |
Friday, January 10, 2025 | |
Building and evaluating generalist language agents | Victor Zhong |
Friday, February 14, 2025 | |
TBC | Freda Shi |
Friday, March 14, 2025 | |
TBC | |
Friday, April 11, 2025 | |
TBC | Aaron Roth |
Friday, May 9, 2025 | |
TBC | Mikhail (Misha) Belkin |
This event is open to the public virtually with emphasis on graduate students in machine learning, computer science, ECE, statistics, mathematics, linguistics, medicine, as well as PhD-level data scientists in the GTA. Please note that this event is being offered in English only.