Panel: Challenges and opportunities of causality
What is causal machine learning? Is it the same as causality research? What are the recent advances and future opportunities? This panel is a unique session where you can hear world-leading researchers’ thoughts on causal machine learning in economics, computer science, statistics, and healthcare. Microsoft Chief Scientific Officer Eric Horvitz will discuss the advances and impact of causal machine learning with four esteemed professors in causal machine learning with different backgrounds. You will hear their thought on why we need causal machine learning now, how causal machine learning can make a real-world impact, and the future of causal machine learning.
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit (opens in new tab)
- Évènement :
- Microsoft Research Summit 2021
- Piste :
- Causal Machine Learning
- Date:
- Haut-parleurs:
- Eric Horvitz, Yoshua Bengio, Susan Athey, Judea Pearl
- Affiliation:
- Microsoft, Université de Montréal, Stanford, UCLA
Causal Machine Learning
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Opening remarks: Causal Machine Learning
Speakers:- Cheng Zhang
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Research talk: Causal ML and business
Speakers:- Jacob LaRiviere
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Research talk: Can causal learning improve the privacy of ML models?
Speakers:- Shruti Tople
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Panel: Challenges and opportunities of causality
Speakers:- Eric Horvitz,
- Yoshua Bengio,
- Susan Athey
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Research talk: Causal ML and fairness
Speakers:- Allison Koenecke
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Panel: Causal ML Research at Microsoft
Speakers:- Adith Swaminathan,
- Javier González Hernández,
- Justin Ding
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Research talk: Post-contextual-bandit inference
Speakers:- Nathan Kallus
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Demo: Enabling end-to-end causal inference at scale
Speakers:- Eleanor Dillon,
- Amit Sharma
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Panel: Causal ML in industry
Speakers:- Ya Xu,
- Totte Harinen,
- Dawen Liang
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Closing remarks: Causal Machine Learning
Speakers:- Emre Kiciman
