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Thursday, March 16, 2023 10:30 am - 11:30 am EDT (GMT -04:00)

Seminar • Artificial Intelligence • Discovering Knowledge via Causal Inference and Representation Learning

Please note: This seminar will take place in DC 1304 and virtually over Zoom.

Jason Hartford, Postdoctoral researcher
Mila, Quebec

Causal inference provides a powerful suite of tools through which economists, epidemiologists, and the social sciences understand the world. But textbook causal inference methods limit the questions that scientists can ask because they rely on classical statistical estimation techniques.

Monday, March 20, 2023 10:30 am - 11:30 am EDT (GMT -04:00)

Seminar • Cryptography, Security, and Privacy (CrySP) • Cryptography, Security, and Law

Please note: This seminar will take place in DC 1304 and virtually over Zoom.

Sunoo Park
Postdoctoral Fellow, Columbia University
Visiting Fellow, Columbia Law School

My research focuses on the security, privacy, and transparency of technologies in societal and legal context. My talk will focus on three of my recent works in this space, relating to (1) preventing exploitation of stolen email data, (2) enhancing accountability in electronic surveillance, and (3) legal risks faced by security researchers.

Monday, March 27, 2023 10:30 am - 11:30 am EDT (GMT -04:00)

Seminar • Systems and Networking • Rescuing Data Center Processors

Please note: This seminar will take place virtually over Zoom.

Tanvir Ahmed Khan, PhD candidate
Computer Science and Engineering, University of Michigan

Billions of people rely on web services powered by data centers, where critical applications run 24/7. Unfortunately, data center applications are extremely inefficient, wasting more than 60% of all processor cycles, and causing millions of dollars in operational expenses and energy costs.

Tuesday, March 28, 2023 9:00 am - 10:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Machine Learning • Approaches and Techniques to Enhance Efficiency and Performance of Non-Contrastive Self-Supervised Learning Methods

Please note: This master’s thesis presentation will take place online.

Ali Saheb Pasand, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ali Ghodsi