Bahareh Sarrafzadeh, PhD candidate
David R. Cheriton School of Computer Science
Please note: This master’s thesis presentation will be given online.
Martin Gauch, Master’s candidate
David R. Cheriton School of Computer Science
Please note: This PhD seminar will be given online.
Christian Gorenflo, PhD candidate
David R. Cheriton School of Computer Science
Please note: This seminar has been cancelled
Vikas Garg, Electrical Engineering & Computer Science
Massachusetts Institute of Technology
Please note: This master’s thesis presentation will be given online.
Ryan Clancy, Master’s candidate
Please note: This seminar has been cancelled
Niao He, Department of Industrial Systems Engineering and Coordinated Science Laboratory
University of Illinois at Urbana-Champaign
Please note: This seminar has been cancelled
Carl Yang, Department of Computer Science
University of Illinois at Urbana–Champaign
Masoumeh Shafieinejad, PhD candidate
David R. Cheriton School of Computer Science
Kate Larson
David R. Cheriton School of Computer Science
Axiomatic approaches are an appealing method for designing fair algorithms, as they provide a formal structure for reasoning about and rationalizing individual decisions. However, to make these algorithms useful in practice, their axioms must appropriately capture social norms.
We explore this tension between fairness axioms and socially acceptable decisions in the context of cooperative game theory for the fair division of rewards.
Renjie Liao, Department of Computer Science
University of Toronto
Please note the unusual day for this seminar.
Mohammad Hajiabadi, Postdoctoral Researcher
Computer Science Division, EECS Department
Mark Elendt and Jeff Lait are two Academy Award winning developers at SideFX who have a long history in the industry. They will be discussing the unique challenges involved in developing 3D tools for artists and what it’s like to be a software developer in this very exciting industry.
Abel Molina, PhD candidate
David R. Cheriton School of Computer Science
Ke Li, Research Scientist
Google
In this talk, I will present our work on overcoming two long-standing problems in machine learning and computer vision:
Barrett Ens, Department of Human Centred Computing
Monash University, Australia
Ryan Goldade, PhD candidate
David R. Cheriton School of Computer Science
Tiasa Mondol, Master’s candidate
David R. Cheriton School of Computer Science
Aastha Mehta, Max Planck Institute for Software Systems
Saarbrücken, Germany
Please note: This seminar series has two speakers.
Mathieu Nancel
Loki Research Group
Inria Lille, France
Aravind Machiry, Department of Computer Science
University of California, Santa Barbara
Vedat Levi Alev, PhD candidate
David R. Cheriton School of Computer Science
Richard Peng, School of Computer Science
Georgia Institute of Technology
James Jacobs, Co-founder and CEO
Ziva Dynamics
Daniel Gibney, Department of Computer Science
University of Central Florida
Dmitrii Pasechnik, Department of Computer Science
University of Oxford