Channel Title: CausalAI Channel Description: We'll be posting videos related to causal inference and related topics, including AI, Machine Learning, and Data Science. For more information about our latest results, see https://causalai.net. <video> Towards Causal Reinforcement Learning (Tutorial) Description: Tutorial presented by Professor Elias Bareinboim entitled "Towards Causal Reinforcement Learning", which took place at Tel-Aviv, July 22nd, 2019. </video> <video> Causal Reinforcement Learning -- Part 2/2 (ICML tutorial) Description: Second part the tutorial presented by Professor Elias Bareinboim on "Causal Reinforcement Learning", which took place at ICML-2020 (online), July 13, 2020. For further details, references, and the slides, see https://crl.causalai.net . </video> <video> Tutorial Causal Fairness Analysis (ACM FAccT'21) Description: Tutorial presented by Professor Elias Bareinboim entitled "Causal Fairness Analysis", which took place at the ACM FAccT conference, Mar/4, 2021. This is joint work with Junzhe Zhang and Drago Plecko. Slides: http://fairness.causalai.net/ </video> <video> Causal Data Science -- Elias Bareinboim (@ 1st Workshop on Interactive Causal Learning) Description: Keynote by Professor Elias Bareinboim on "Causal Data Science: A general framework for causal inference and fusion (through computational lenses)," which was part of the First International Workshop on Interactive Causal Learning on June 2nd, 2022. </video> <video> Elias Bareinboim -- Causal Data Science Description: Talk by Professor Elias Bareinboim on "Causal Data Science: A general framework for data fusion and causal inference", which took place at Columbia University, April, 1, 2019. </video> <video> "On the Causal Foundations of AI" -- MSR Frontiers of Machine Learning (Elias Bareinboim) Description: Talk by Professor Elias Bareinboim on "On the Causal Foundations of Artificial Intelligence (Explainability & Decision-Making)" , which appeared at MSR's Frontiers of Machine Learning, July, 21, 2020. This talk is based in part on the chapter "On Pearl’s Hierarchy and the Foundations of Causal Inference" (E. Bareinboim, J. Correa, D. Ibeling, T. Icard), link: https://causalai.net/r60.pdf . </video> <video> Tutorial -- Causal Fairness Analysis [ICML 2022] Description: </video> <video> Elias Bareinboim -- Causal Data Science Keynote Description: Talk by Professor Elias Bareinboim on "Causal Data Science: A general framework for causal inference and fusion," which was part of the Causal Data Science Meeting on November 12th, 2020. </video> <video> Judea Pearl -- The Foundations of Causal Inference [The Book of WHY] Description: WHY-19 keynote speech by Professor Judea Pearl on the book of why and the foundations of causal inference, which took place at Stanford University, March, 25, 2019. The slides can be found here: https://why19.causalai.net/papers/why19-pearl.ppt For more information about the WHY-19 symposium, see https://why19.causalai.net. Credits: Video recording: Carlos Cinelli (UCLA) and Murat Kocaoglu (IBM Research); Editing: Kaoru Mulvihill (UCLA). Realization: Cognitive Systems Lab-UCLA (Judea Pearl) & CausalAI Lab-Columbia (Elias Bareinboim). </video> <video> Causal Reinforcement Learning -- Part 1/2 (ICML tutorial) Description: First part of the tutorial presented by Professor Elias Bareinboim on "Causal Reinforcement Learning", which took place at ICML-2020 (online), July 13, 2020. For the second part of this tutorial, see: https://www.youtube.com/watch?v=2hGvd_9ho6s For further details, references, and the slides, see https://crl.causalai.net . </video> <video> Judea Pearl -- Data versus Science: Contesting the Soul of Data-Science [CIFAR] Description: Talk by Professor Judea Pearl on "Data versus Science: Contesting the Soul of Data-Science", which took place at the CIFAR Learning in Machines and Brains Meeting on July 30, 2020. The slides can be found here: https://causalai.net/cifar-july2020.ppt . Due to some technical issues with Zoom, the speaker couldn't see the slides and some of the slides were not fully synchronized with the video, apologizes in advance. </video>

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We'll be posting videos related to causal inference and related topics, including AI, Machine Learning, and Data Science.

For more information about our latest results, see https://causalai.net.

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