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Stefano Ermon
Assistant Professor
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My research is centered on techniques for scalable and accurate inference in graphical models, statistical modeling of data, large-scale combinatorial optimization, and robust decision making under uncertainty, and is motivated by a range of applications, in particular ones in the emerging field of computational sustainability.
Papers232 papers
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ICLR 2021, (2021)
national conference on artificial intelligence, (2020)
Autonomous Agents and Multi-Agent Systems, pp.1855-1857, (2020)
ICML, pp.5286-5295, (2020)
ICLR, (2020)
National Bureau of Economic Research, (2020)
NIPS 2020, (2020)
NIPS 2020, (2020)
The IEEE Winter Conference on Applications of Computer Vision, pp.1796-1805, (2020)
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