Anastasios Angelopoulos
Ph.D. student in Electrical Engineering and Computer Science
at the University of California, Berkeley
Student of Michael I. Jordan
and of Jitendra Malik
Research interests
I am broadly interested in the use of black-box machine learning models for decision-making and statistical inference, as well as cross-disciplinary research in imaging, medicine, and biology. I'm especially excited about bridging modern AI systems with statistics to ensure their effective and responsible use. See here for more!Recent News
November, 2023 Prediction-Powered Inference was published in Science!
October, 2023 Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions is on arXiv! If you want to learn how to make downstream decisions with conformal, this paper shows how.
October, 2023 Conformal PID Control will appear at NeurIPS 2023!
April, 2023 Conformal Prediction: A Gentle Introduction is being printed as a book by Foundations and Trends in Machine Learning! 🍾
Selected publications
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Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. [ICML], 2022.
