Research talk: Challenges and opportunities in causal machine learning

Channel:
Microsoft Research
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351,000
Published on ● Video Link: https://www.youtube.com/watch?v=7Zr6_Gdd0fo


Duration: 30:56
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Speakers:
Amit Sharma, Senior Researcher, Microsoft Research India
Cheng Zhang, Principal Researcher, Microsoft Research Cambridge
Emre Kiciman, Senior Principal Researcher, Microsoft Research Redmond
Greg Lewis, Senior Principal Researcher, Microsoft Research New England

This talk will highlight the big challenges in causal ML research and present our vision for development and use of causal ML technology for real-world decision making. Microsoft Researchers will focus on what’s needed to achieve the twin benefits: how can machine learning become more robust through causal reasoning, and how causal inference algorithms become more scalable and testable through machine learning techniques.

Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit



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Tags:
Causal Machine Learning
human-like machine intelligence
computer science
causal machine learning technologies
microsoft research summit