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

Building out Distribution-Free Uncertainty Quantification, motivated by applications to medicine and computational imaging.

Recent News

March, 2022 Part Two of our YouTube tutorial on conformal prediction and distribution-free uncertainty quantification has been posted! This one focuses on conditional coverage and diagnostics.

February, 2022 We just posted a new paper, Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging, which does super-resolution of transmission electron microscopy of a Drosophila melanogaster brain, fast MRI reconstruction of knees, and quantitative phase imaging of white blood cells with deep learning and rigorous uncertainty.

February, 2022 We just posted a new paper, Conformal Prediction for the Design Problem, addressing uncertainty quantification under distribution shift caused by feedback loops.

February, 2022 Our paper Rigorous Uncertainty Estimation for MRI Reconstruction was accepted as an oral at the Conference of the International Society for Magnetic Resonance in Medicine.

January, 2022 Our paper Private Prediction Sets was accepted to the Harvard Data Science Review.

January, 2022 We posted Online Active Learning with Dynamic Marginal Gain Thresholding on arXiv!

Selected publications
    • A. N. Angelopoulos*
    • A. P. Kohli*
    • S. Bates
    • J. Malik
    • M. I. Jordan
    • T. Alshaabi
    • S. Upadhyahyula
    • Y. Romano
    Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. 2022.
    • A. N. Angelopoulos
    • S. Bates
    • E. J. Candès
    • M. I. Jordan
    • L. Lei
    Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control. 2021.
    • A. N. Angelopoulos
    • S. Bates
    A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification. 2021.
    • S. Bates*
    • A. N. Angelopoulos*
    • L. Lei*
    • J. Malik
    • M. I. Jordan
    Distribution-Free, Risk-Controlling Prediction Sets. 2021.
    • A. N. Angelopoulos*
    • S. Bates*
    • J. Malik
    • M. I. Jordan
    Uncertainty Sets for Image Classifiers using Conformal Prediction. 2020.