Panel: Causal ML at Microsoft
Causal reasoning and machine learning is widely deployed across Microsoft, to support high-stakes internal decision-making and to build products that help our customers make better use of their own data. This panel, moderated by AI for Good Chief Scientist Juan Lavista Ferres, will quiz some of our leading practitioners on how they use causal tools in their work, what tools are needed but missing, and how they hope causal machine learning will evolve in the future.
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit (opens in new tab)
- Track:
- Causal Machine Learning
- Date:
- Speakers:
- Juan Lavista Ferres, Mingqi Wu, Sonia Jaffe, Mehrnoosh Sameki
- Affiliation:
- Microsoft Research, Microsoft, Microsoft Research, Microsoft Azure
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Juan M. Lavista Ferres
Corporate Vice President & Chief Data Scientist
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Mingqi Wu
Principal Data Scientist
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Sonia Jaffe
Principal Researcher
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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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Panel: Challenges and opportunities of causality
Speakers:- Susan Athey,
- Yoshua Bengio,
- Judea Pearl
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Research talk: Causal ML and fairness
Speakers:- Allison Koenecke
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Panel: Causal ML Research at Microsoft
Speakers:- Daniel McDuff,
- Javier González,
- Justin Ding
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Research talk: Post-contextual-bandit inference
Speakers:- Nathan Kallus
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Panel: Causal ML in industry
Speakers:- Ya Xu,
- Totte Harinen,
- Dawen Liang
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