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 to be added to our email list.


CAIDA Talk - November 30, 2023 - Serena Wang


CAIDA Talk - October 11, 2023 - Juan Wachs


PLAI Talk - June 23, 2023 - Björn Ommer


CAIDA Talk - July 11, 2023 - Qi Lei


CAIDA Talk - June 26, 2023 - Boyang Albert Li


CAIDA Talk - June 23, 2023 - Young Min Kim


CAIDA Talk - September 20, 2022 - Kameron Decker Harris


CAIDA Talk - August 29, 2022 - Gautam Kamath


CAIDA Talk - June 21, 2022 - Justin Hart


CAIDA Talk - May 18, 2022 - Tor Aamodt


CAIDA Talk - March 15, 2022 - Jonathan Herington


CAIDA Talk - March 1, 2022 - Caroline Uhler



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. 


2021 Videos:

Name/Video Link Date Talk Information
Hsuan Tien Lin January 14, 2021 Active Learning by Learning
Richard (Hao) Zhang February 22, 2021 Learning Generative Models of 3D Shapes: From Implicit Functions to Structured Representations
Giacomo Calzolari March 15, 2021 Algorithmic collusion with imperfect monitoring
Benjamin Bloem-Reddy March 31, 2021 Invariance in machine learning methods: What, why, and then?
Marcus Brubaker April 27, 2021 Normalizing Flows in Theory and Practice
Virtual "Lab Tours" May 6, 2021 CAIDA Open House 2021
Keynote: Trevor Campbell May 6, 2021 CAIDA Open House 2021
Keynote: Alla Sheffer May 6, 2021 CAIDA Open House 2021
Panel Discussion May 6, 2021 CAIDA Open House 2021
Hua Ki’i - A Prototype for Developing Ethical Indigenous AI May 13, 2021 Hua Ki’i - A Prototype for Developing Ethical Indigenous AI
Saeed Ghadimi June 7, 2021 Nonconvex Stochastic Nested Optimization
Philippe Pasquier June 22, 2021 Creative AI: on the partial or complete automation of creative tasks
Deepak Pathak July 28, 2021 Robots that Rapidly Adapt to Diverse Tasks and Environments
Marcus Arvan September 16, 2021 Artificial Moral Agency and the New Control Problem
Tal Arbel September 21, 2021 Modelling and Propagating Uncertainties in Machine Learning for Medical Images Acquired from Patients with Neurological Diseases
Sham Kakade September 27, 2021 The Provable Effectiveness of Policy Gradient Methods in Reinforcement Learning and Controls
Mark Ansermino October 5, 2021 SMART QI- AI supported precision public health for sepsis in children
Philip Nickel October 27, 2021 Trust, discretion, and AI
Algorithmic Bias Panel Discussion November 4, 2021 Building an Ethical Algorithmic World
Max Welling November 16, 2021 Deep learning for the Physical Sciences
Richard Zemel November 22, 2021 Learning Novel Classes and Attributes While Wandering Within a World
Rogerio Feris November 30, 2021 Computational Visual Pathways for Multi-Task Learning and Simulation


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