Wednesday, November 29, 2023 — 2:00 PM to 3:00 PM EST

Please note: This PhD seminar will take place in DC 3317 and online.

Ehsan Ganjidoost, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jeff Orchard

Wednesday, November 29, 2023 — 12:00 PM to 3:00 PM EST

Please note: This PhD defence will take place in DC 2314 and online.

Johra Muhammad Moosa, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Bin Ma

Wednesday, November 29, 2023 — 12:00 PM to 1:00 PM EST

Please note: This PhD seminar will take place in DC 1304 and online.

Shufan Zhang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Xi He

Wednesday, November 29, 2023 — 12:00 PM to 1:00 PM EST

Please note: This seminar will take place in M3 4206 and online.

Rachel Yun Zhang, PhD student
CSAIL, Massachusetts Institute of Technology

A code, which is a set of strings called codewords, is locally testable if one can test whether a given word is close to a codeword by reading only a few bits. Locally testable codes have been studied since the 1990s as key ingredients in the construction of probabilistically checkable proofs.

Wednesday, November 29, 2023 — 10:30 AM to 11:30 AM EST

Please note: This PhD seminar will take place in E5 4047.

Murray Dunne, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Sebastian Fischmeister

Monday, November 27, 2023 — 12:00 PM to 1:00 PM EST

Please note: This seminar will take place in MC 5501 and online.

Mika Göös, Assistant Professor
Theory Group, École polytechnique fédérale de Lausanne

We present a top-down lower-bound method for depth-4 Boolean circuits. In particular, we give a new proof of the well-known result that the parity function requires depth-4 circuits of size exponential in n^{1/3}. Our proof is an application of robust sunflowers and block unpredictability.

Joint with Artur Riazanov, Anastasia Sofronova, and Dmitry Sokolov.

Monday, November 27, 2023 — 10:30 AM to 11:30 AM EST

Please note: This master’s thesis presentation will take place in DC 2310 and online.

Gengyi Sun, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Shane McIntosh

Friday, November 24, 2023 — 11:00 AM to 12:00 PM EST

Please note: This seminar will take place in DC 1304 and online.

Han Zhao, Assistant Professor
Computer Science, University of Illinois Urbana-Champaign
Amazon Visiting Academic, Amazon AI and Search Science

To mitigate the bias exhibited by machine learning models, fairness criteria can be integrated into the training process to ensure fair treatment across all demographics, but it often comes at the expense of model performance. Understanding such tradeoffs, therefore, underlies the design of optimal and fair algorithms.

Friday, November 24, 2023 — 10:00 AM to 11:00 AM EST

Please note: This PhD seminar will take place in DC 2564 and online.

Farshad Kazemi, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Shane McIntosh

Friday, November 24, 2023 — 9:00 AM to 10:00 AM EST

Please note: This PhD seminar will take place in DC 2564 and online.

Farshad Kazemi, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Shane McIntosh

Thursday, November 23, 2023 — 2:00 PM to 3:00 PM EST

Please note: This CrySP Speaker Series on Privacy talk will take place in DC 1302 and online.

Kevin Yeo
Research Engineering Manager, Google
PhD candidate, Columbia University

Private information retrieval (PIR) is a very promising cryptographic tool that enables privacy-preserving data querying that has endless implications to real-world applications. Unfortunately, PIR’s high cost remains a hindrance in widespread adoption.

Thursday, November 23, 2023 — 10:30 AM to 11:30 AM EST

Please note: This seminar will take place in DC 1304.

Marina Meila
Department of Statistics, University of Washington
Senior Fellow, University of Washington’s eScience Institute

Wednesday, November 22, 2023 — 12:00 PM to 1:00 PM EST

Please note: This seminar will take place in M3 4206 and online.

David Wajc, Senior Lecturer | Assistant Professor, Taub Fellow
The Technion, Israel Institute of Technology

Tuesday, November 21, 2023 — 1:00 PM to 2:00 PM EST

Please note: The PhD seminar will take place in DC 2310 and online.

Dihong Jiang, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Yaoliang Yu, Sun Sun

Monday, November 20, 2023 — 12:00 PM to 1:00 PM EST

Please note: This master’s thesis presentation will take place in DC 2310 and online.

Temiloluwa Femi-Gege, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jian Zhao

Thursday, November 16, 2023 — 2:00 PM to 3:00 PM EST

Please note: This PhD seminar will take place online.

Shaokai Wang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Bin Ma

Thursday, November 16, 2023 — 9:00 AM to 10:00 AM EST

Please note: This PhD seminar will take place in DC 2102.

Andrew Na, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Justin Wan

Wednesday, November 15, 2023 — 12:00 PM to 1:00 PM EST

Please note: This seminar will take place in M3 4206 and online.

Harold Nieuwboer, PhD student
Korteweg-de Vries Institute and QuSoft
University of Amsterdam

Monday, November 13, 2023 — 3:00 PM to 4:00 PM EST

Please note: This PhD seminar will take place online.

Pablo Millán Arias, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lila Kari

Monday, November 13, 2023 — 12:00 PM to 1:00 PM EST

Please note: This PhD seminar will take place online.

Marvin Pafla, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Kate Larson, Mark Hancock

With the rise of large language models (LLMs) like GPT, the field of eXplainable artificial intelligence (XAI) has exploded and produced a plethora of methods  (e.g., saliency-maps) to gain insight into deep neural nets. However, human-participant studies question the efficacy of these methods, particularly when the AI output is wrong.

Friday, November 10, 2023 — 2:00 PM to 3:00 PM EST

Please note: This PhD seminar will take place online.

Ryan Hancock, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ali Mashtizadeh

Friday, November 10, 2023 — 9:00 AM to 12:00 PM EST

Please note: This PhD defence will take place in DC 2310 and virtually.

Glaucia Melo dos Santos, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Paulo Alencar, Daniel Berry, Donald Cowan

Wednesday, November 8, 2023 — 11:00 AM to 12:00 PM EST

Please note: This PhD seminar will take place in DC 2585 and online.

Ashish Gaurav, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Pascal Poupart

Monday, November 6, 2023 — 9:30 AM to 5:00 PM EST

Please note: This workshop will take place in DC 1302 and online.

You are invited to join the Machine Learning Theory Workshop on Monday, November 6, 2023 in DC 1302 and online. 

This workshop will bring together researchers with expertise in mathematical foundations of machine learning. The purpose of this event is to foster connections and build a research community among learning theorists from various institutions.

Friday, November 3, 2023 — 3:00 PM to 4:00 PM EDT

Please note: This master’s thesis presentation will take place in DC 3317 and online.

Logan Mosier, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Toshiya Hachisuka

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