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.
PLAI Talk - June 23, 2023 - Björn Ommer
VIDEO
CAIDA Talk - July 11, 2023 - Qi Lei
VIDEO
CAIDA Talk - June 26, 2023 - Boyang Albert Li
VIDEO
CAIDA Talk - June 23, 2023 - Young Min Kim
VIDEO
CAIDA Talk - September 20, 2022 - Kameron Decker Harris
VIDEO
CAIDA Talk - August 29, 2022 - Gautam Kamath
VIDEO
CAIDA Talk - June 21, 2022 - Justin Hart
VIDEO
CAIDA Talk - May 18, 2022 - Tor Aamodt
VIDEO
CAIDA Talk - March 15, 2022 - Jonathan Herington
VIDEO
CAIDA Talk - March 1, 2022 - Caroline Uhler
VIDEO
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