AI & Fundamentals
The Non-Stochastic Control Framework - Naman Agarwal, Research Scientist, Google AI, Princeton
The Non-Stochastic Control Framework - Naman Agarwal, Research Scientist, Google AI, Princeton
Please register for this event here Abstract: Linear dynamical systems are a continuous subclass of reinforcement learning models that are widely used in robotics, finance, engineering, and meteorology. Classical control,...
AI & Fundamentals
Are we experiencing a technological singularity? - Pascal Poupart, Professor, University of Waterloo
Are we experiencing a technological singularity? - Pascal Poupart, Professor, University of Waterloo
Please register for this event here. Abstract: Ever since mathematician I.J. Good speculated about the conception of a first ultra intelligent machine in 1965, it has been hypothesized that a technological singular...
AI & Fundamentals
Intuitive Understanding of Generalization in Neural Networks - Jimmy Ba, Assistant Professor, University of Toronto
Intuitive Understanding of Generalization in Neural Networks - Jimmy Ba, Assistant Professor, University of Toronto
Please register for this event here. Abstract: How does a large-scale neural network with millions of parameters generalize from only a few training examples? How does one learning algorithm generalize better than another?...
AI & Fundamentals
In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors, Daniel Roy and Jeffrey Negrea
In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors, Daniel Roy and Jeffrey Negrea
Please register for this event here. Start time subject to change In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors Jeffrey Negrea, Gintare Karol...
AI & Fundamentals
A tour of distributional reinforcement learning - Marc G. Bellemare, Research Scientist, Google Brain, Mila
A tour of distributional reinforcement learning - Marc G. Bellemare, Research Scientist, Google Brain, Mila
Please register for this event here. Abstract: In reinforcement learning, decisions are typically made by maximizing the agent's expected sum of future rewards, or expected return. Where the reward encodes an immediate not...
General Event
Emerging Technologies: BC's AI Showcase
Emerging Technologies: BC's AI Showcase
UBC's Centre for Artificial Intelligence Decision-making and Action (CAIDA) invites you to the conference "Emerging Technologies: BC's AI Showcase". Please register for this event here. The conference will explore emerging...
AI & Fundamentals
Overcoming Mode Collapse and the Curse of Dimensionality - Ke Li, Assistant Professor, Simon Fraser University
Overcoming Mode Collapse and the Curse of Dimensionality - Ke Li, Assistant Professor, Simon Fraser University
Please register for this event here. Abstract: In this talk, I will present our work on overcoming two long-standing problems in machine learning: 1. Mode collapse in generative adversarial nets (GANs) Generative adversa...
AI & Ethics
The Psychological, Philosophical and Ethical Perils of Social Media: A Discussion
The Psychological, Philosophical and Ethical Perils of Social Media: A Discussion
Please register for this event here. Dr. Regina Rini Bio: Regina Rini holds the Canada Research Chair in Philosophy of Moral and Social Cognition and is Associate Professor in the Department of Philosophy at York Universit...
AI & Fundamentals
Active Learning by Learning - Hsuan-Tien Lin, Professor, National Taiwan University; Chief Data Science Consultant, Appier Inc.
Active Learning by Learning - Hsuan-Tien Lin, Professor, National Taiwan University; Chief Data Science Consultant, Appier Inc.
Please register for this event here. Abstract: Active learning is an important technique that helps reduce labeling efforts in machine learning applications. Previously, most active learning strategies are c...
AI & Fundamentals
POSTPONED: A future with self-driving vehicles - Raquel Urtasun: Professor, University of Toronto; Chief Scientist, Uber ATG
POSTPONED: A future with self-driving vehicles - Raquel Urtasun: Professor, University of Toronto; Chief Scientist, Uber ATG
Please register for this event here. Abstract: We are on the verge of a new era in which robotics and artificial intelligence will play an important role in our daily lives. Self-driving vehicles have the potential to rede...