Panel: Causal ML in industry
- Greg Lewis, Ya Xu, Totte Harinen, Dawen Liang | Microsoft Research, LinkedIn, Toyota Research Institute, Netflix
- Microsoft Research Summit 2021 | Causal Machine Learning
Causal ML is widely used by data science teams in the tech world to give business decision makers data-driven answers. In this panel data science leaders at Amazon, LinkedIn, Netflix and Toyota will offer their unique perspectives on what problems they are solving, which tools have proven effective or ineffective, where they see the future of the field, and what they wish they’d learned sooner.
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit (opens in new tab)
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Greg Lewis
Senior Principal Researcher
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Ya Xu
Head of Data
LinkedIn
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Totte Harinen
Data Scientist
Toyota Research Institute
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Dawen Liang
Senior Research Scientist
Netflix
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Causal Machine Learning
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Opening remarks: Causal Machine Learning
- Cheng Zhang
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Research talk: Challenges and opportunities in causal machine learning
- Amit Sharma,
- Cheng Zhang,
- Emre Kiciman
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Research talk: Causal ML and business
- Jacob LaRiviere
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Research talk: Causality for medical image analysis
- Daniel Coelho de Castro
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Research talk: Causal ML and fairness
- Allison Koenecke
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Panel: Causal ML Research at Microsoft
- Adith Swaminathan,
- Javier González Hernández,
- Justin Ding
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Research talk: Post-contextual-bandit inference
- Nathan Kallus
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Demo: Enabling end-to-end causal inference at scale
- Eleanor Dillon,
- Amit Sharma
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Panel: Causal ML at Microsoft
- Juan Lavista Ferres,
- Mingqi Wu,
- Sonia Jaffe
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Panel: Causal ML in industry
- Greg Lewis,
- Ya Xu,
- Totte Harinen
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Closing remarks: Causal Machine Learning
- Emre Kiciman
