Microsoft Research: Causality and Machine Learning

Causality and Machine Learning
This page details Microsoft's research and resources related to causality and machine learning, focusing on the group dedicated to causal inference. It outlines various research areas, people involved, publications, downloads, videos, projects, events, and news.
Research Areas:
The research is broadly categorized into several domains:
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Intelligence:
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Theory:
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Other Sciences:
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Products and Downloads:
Resources are available for tools and software developed by Microsoft Research.
Programs and Events:
Information on academic programs, events, and conferences hosted or supported by Microsoft Research.
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Details about the researchers and their contributions:
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Blogs and Learning:
Access to the latest insights and learning materials:
- Microsoft Research Blog
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Information about Microsoft's global research facilities:
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- Other Labs/Locations:
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Causality and Machine Learning
This section focuses specifically on the group's work in causality and machine learning. It provides links to:
- Overview: General information about the group's focus.
- People: Researchers involved in this area.
- Collaboration Papers: Publications stemming from collaborative efforts.
- Downloads: Available software and tools.
- Videos: Presentations and discussions.
- Projects: Ongoing and completed research projects.
- Events: Past and upcoming events related to causal inference.
- News & Features: Updates and highlights.
Events:
Details about specific events organized by the group:
- Community Workshop on Microsoft's Causal Tools (May 2022): A virtual workshop focusing on open-source causal learning tools like DoWhy and EconML. This event has passed.
- Foundations of Causal Inference and its Impacts on Machine Learning Webinar (December 2020): A webinar featuring Microsoft researchers discussing the fundamentals of causal inference and its application in machine learning.
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Original article available at: https://www.microsoft.com/en-us/research/group/causal-inference/events/?lang=fr_ca