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Wednesday, May 25, 2022 12:00 pm - 1:00 pm EDT (GMT -04:00)

PhD Seminar • Data Systems • Universal System Analysis for Insight and Adaptivity

Please note: This PhD seminar will be given online.

Brad Glasbergen, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Khuzaima Daudjee

Data systems are known for their complexity; they contain a vast number of features and configuration parameters to support different use cases. As no single data system can efficiently process all workload types, administrators face a daunting task:

Friday, June 3, 2022 2:00 pm - 3:00 pm EDT (GMT -04:00)

PhD Seminar • Algorithms and Complexity • On Testing and Robust Characterization of Convexity

Please note: This PhD seminar will be given online.

Abhinav Bommireddi, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Eric Blais

A body K ⊂ Rn is convex if and only if the line segment between any two points in K is completely contained within K or, equivalently, if and only if the convex hull of a set of points in K is contained within K.

Wednesday, June 22, 2022 12:00 pm - 1:00 pm EDT (GMT -04:00)

PhD Seminar • Data Systems | NLP • Backward-compatibility for Neural NLP Models

Please note: This PhD seminar will be given online.

Yuqing Xie, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Ming Li, Jimmy Lin

I would like to share the work I did during the internship with AWS AI about Backward-Compatibility NLP models. Behavior of deep neural networks can be inconsistent between different versions. Regressions during model update are a common cause of concern that often over-weigh the benefits in accuracy or efficiency gain.