Videos

You can see all of our recorded events below as well as on our YouTube channel.  Please note that not all of our events are recorded. If you would like to be notified about our upcoming events, please contact admin@caida.ubc.ca to be added to our email list.

 

CAIDA Talk - May 18, 2022 - Tor Aamodt

 

CAIDA Talk - March 15, 2022 - Jonathan Herington

 

CAIDA Talk - March 1, 2022 - Caroline Uhler

 

CAIDA Talk - November 30, 2021 - Rogerio Feris

 

CAIDA Talk - November 22, 2021 - Richard Zemel

 

CAIDA Talk - November 16, 2021 - Max Welling

 

Building an Ethical Algorithmic World: A Panel Discussion with AI Experts

 

CAIDA Talk - October 27, 2021 - Philip Nickel

 

CAIDA Talk - October 5, 2021 - Mark Ansermino

 

CAIDA Talk - September 27, 2021 - Sham Kakade

 

CAIDA Talk - September 21, 2021 - Tal Arbel

 

CAIDA Talk - September 16, 2021 - Marcus Arvan

 

CAIDA Talk - July 28, 2021 - Deepak Pathak

 

CAIDA Talk - June 22, 2021 - Philippe Pasquier

 

CAIDA Talk - June 7, 2021 - Saeed Ghadimi

 

Hua Ki’i - A Prototype for Developing Ethical Indigenous AI

 

CAIDA Open House - Panel

 

CAIDA Open House 2021 - Keynote: Alla Sheffer

 

CAIDA Open House 2021 - Keynote: Trevor Campbell

 

CAIDA Open House 2021 - Virtual "Lab Tours"

 

CAIDA Talk - April 27, 2021 - Marcus Brubaker

 

CAIDA Talk - March 31, 2021 - Benjamin Bloem-Reddy

 

CAIDA Talk - March 15, 2021 - Giacomo Calzolari

 

CAIDA Talk - February 22, 2021 - Richard (Hao) Zhang

 

CAIDA Talk - January 14, 2021 - Hsuan Tien Lin

 

 

To watch CAIDA’s older videos, please follow the links below or check out our YouTube channel.  Please note that not all of our events are recorded. 

2020 Videos:

Name/Video Link Date Talk Information
Aline Talhouk January 24, 2020 Large-scale federated and privacy-preserving Evaluation & Analysis Platform (LEAP)
Artificial Intelligence: The next decade January 30, 2020 Artificial Intelligence: The next decade
Julian Savulescu February 24, 2020 The Ethics of Artificial Intelligence: Moral Machines
Ben Shneiderman March 2, 2020 Human-Centered Artificial Intelligence: Trusted, Reliable and Safe
Martha White June 15, 2020 Rethinking the Objective for Policy Optimization in Reinforcement Learning
Jason Lee June 22, 2020 Beyond Linearization in Neural Networks
Eldad Haber July 13, 2020 Active learning and A-Optimal Experimental Design
Kyunghyun Cho July 20, 2020 Inconsistency of a Recurrent Language Model: A Question I Forgot to Ask in 2014
Helge Rhodin August 20, 2020 Playing with Visual AI
Hugo Larochelle August 24, 2020 Meta-Learning - A Roadmap for Few-Shot Transfer Learning
Naman Agarwal October 5, 2020 The Non-Stochastic Control Framework
Pascal Poupart October 22, 2020 Are we experiencing a technological singularity?
Jimmy Ba October 23, 2020 Intuitive Understanding of Generalization in Neural Networks
Daniel Roy and Jeffrey Negrea October 26, 2020 In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors
Marc G. Bellemare November 18, 2020 A tour of distributional reinforcement learning
Health Stream November 25, 2020 Emerging Technologies: BC's AI Showcase
Manufacturing Stream November 25, 2020 Emerging Technologies: BC's AI Showcase
Fundamental Science Stream November 25, 2020 Emerging Technologies: BC's AI Showcase
Panel Discussion November 25, 2020 Emerging Technologies: BC's AI Showcase
Ke Li December 2, 2020 Overcoming Mode Collapse and the Curse of Dimensionality
Molly Crocket, Jay Van Bavel, Regina Rini December 9, 2020 The Psychological, Philosophical and Ethical Perils of Social Media: A Discussion

 

2019 Videos:

Name/Video Link Date Talk Information
George Dyson March 8, 2019 Artificial Intelligence: From Analog to Digital and Back
Ben Recht May 9, 2019 The Merits of Models in Continuous Reinforcement Learning
Evan Selinger September 23, 2019 Banning Face Surveillance
Mark Crowley November 4, 2019 Machine Learning for Modelling and Decision Making in Complex Physical Domains
Colin Fox November 22, 2019 Polynomial acceleration of Gibbs sampling (from probability distributions)
David Duvenaud December 6, 2019 Neural Stochastic Differential Equations for Irregularly-Sampled Time Series
Graham Taylor December 6, 2019 On Conditional Generative Adversarial Networks: Iterative Generation and Holistic Evaluation
Sergey Levine December 9, 2019

Embodied Learning as a Path to Intelligent Machines
Mohamed H. Elhoseiny December 16, 2019 Imagination Inspired Vision
Frank Hutter December 16, 2019 Recent Advances in Neural Architecture Search
Zachary Chase Lipton December 16, 2019 Robust Deep Learning Under Distribution Shift
Will Hamilton December 16, 2019 Graph Neural Networks and Graph Isomorphism
Alexander Schwing December 16, 2019 Learning to Anticipate
Emtiyaz Khan December 16, 2019 Learning-Algorithms from Bayesian Principle
N. Siddharth December 16, 2019  

 

2018 Videos:

Name/Video Link Date Talk Information
Kieran R Campbell September 26, 2018 What Should I Measure Next? Expected Entropy of Posterior Search for Optimal Sequential Feature Acquisition
Kevin Leyton Brown October 25, 2018 Economics and Computer Science of a Radio Spectrum Reallocation