Videos

Name: Alberta Machine Intelligence Institute (Amii)
Address: 2nd Floor, 10065 Jasper Ave, Edmonton, Alberta, T5J 3B1, Canada

Jul 30, 2020
"Tea Time Talks: Negar Hassanpour, Counterfactual Reasoning in Observational Studies "
Jul 30, 2020
Tea Time Talks: Yangchen Pan, An Implicit Function Learning Approach for Parametric Modal Regression
Jul 16, 2020
AI Meetup: G2V Optics & Vector Institute
Jul 15, 2020
AI Seminar: Neeraj Kumar on Computational Pathology
Jun 23, 2020
AI in Health: The Future of Research & Application
Jun 23, 2020
Tea Time Talks: Martha White, Policy Gradient Methods as Approximate Policy Iteration
Jun 23, 2020
Tea Time Talks: Patrick Pilarski, On Time
Jun 23, 2020
Tea Time Talks: Csaba Szepesvári, Embracing Approximation in RL
Jun 23, 2020
Tea Time Talks: Rich Sutton, Are You Ready to Fully Embrace Approximation?
Jun 19, 2020
AI Seminar: Kevin Leyton-Brown on Making an Impact in AI Projects
Jun 18, 2020
AI Meetup: RLAI Lab & BLINC Lab | Amii
Jun 12, 2020
AI Seminar: Angel Xuan Chang on Grounding Natural Language to 3D
May 22, 2020
AI Seminar: Mark Schmidt on Faster Algorithms for Deep Learning
Apr 24, 2020
AI Seminar: Scott Niekum on Scaling Probabilistically Safe Learning to Robotics
Dec 10, 2010
AI Seminar: Geoffrey Shmigelsky on Commercialization & AI in Livestock ID and Monitoring

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"Tea Time Talks: Negar Hassanpour, Counterfactual Reasoning in Observational Studies "

AI Meetup: G2V Optics & Vector Institute

AI Seminar: Neeraj Kumar on Computational Pathology

AI in Health: The Future of Research & Application

Tea Time Talks: Martha White, Policy Gradient Methods as Approximate Policy Iteration

Tea Time Talks: Patrick Pilarski, On Time

Tea Time Talks: Csaba Szepesvári, Embracing Approximation in RL

Tea Time Talks: Rich Sutton, Are You Ready to Fully Embrace Approximation?

AI Seminar: Kevin Leyton-Brown on Making an Impact in AI Projects

AI Meetup: RLAI Lab & BLINC Lab | Amii

AI Seminar: Angel Xuan Chang on Grounding Natural Language to 3D

AI Seminar: Mark Schmidt on Faster Algorithms for Deep Learning

AI Seminar: Scott Niekum on Scaling Probabilistically Safe Learning to Robotics

AI Seminar: Geoffrey Shmigelsky on Commercialization & AI in Livestock ID and Monitoring

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"Tea Time Talks: Negar Hassanpour, Counterfactual Reasoning in Observational Studies "

Tea Time Talks: Yangchen Pan, An Implicit Function Learning Approach for Parametric Modal Regression

AI Meetup: G2V Optics & Vector Institute

AI Seminar: Neeraj Kumar on Computational Pathology

AI in Health: The Future of Research & Application

Tea Time Talks: Martha White, Policy Gradient Methods as Approximate Policy Iteration

Tea Time Talks: Patrick Pilarski, On Time

Tea Time Talks: Csaba Szepesvári, Embracing Approximation in RL

Tea Time Talks: Rich Sutton, Are You Ready to Fully Embrace Approximation?

AI Seminar: Kevin Leyton-Brown on Making an Impact in AI Projects

AI Meetup: RLAI Lab & BLINC Lab | Amii

AI Seminar: Angel Xuan Chang on Grounding Natural Language to 3D

AI Seminar: Mark Schmidt on Faster Algorithms for Deep Learning

AI Seminar: Scott Niekum on Scaling Probabilistically Safe Learning to Robotics

AI Seminar: Geoffrey Shmigelsky on Commercialization & AI in Livestock ID and Monitoring

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