Machine Learning
Papers from CS researchers have been accepted to the 38th International Conference on Machine Learning (ICML 2021).
Bareinboim will develop a new framework that will lead to more efficient and robust decision-making; Kroer will develop new algorithms based on game theory to solve real-world problems with multiple actors.
Computer science students won third place at the FG 2021 Recognizing Families in the Wild Challenge and presented their findings at the conference.
About
The group does research on foundational aspects of machine learning — including causal inference, probabilistic modeling, and sequential decision making — as well as on applications in computational biology, computer vision, natural language and spoken language processing, and robotics.
It is part of a broader machine learning community at Columbia that spans multiple departments, schools, and institutes. Activities include seminars on statistical machine learning, several student-led reading groups and social hours, and participation in local events such as the New York Academy of Sciences Machine Learning Symposium.
Causal Artificial Intelligence Lab 
Machine Learning @ Columbia 
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