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
Co-Founder of MHR Vision

Research interests

I'm interested in statistics for black-box models, motivated by applications to medical and computational imaging.

News

August, 2021 Distribution-Free, Risk-Controlling Prediction Sets was accepted to the Journal of the ACM!

July, 2021 A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification has been posted! We are soliciting feedback before arXiv, so please email me with any and all thoughts if you read it.

May, 2021 I'm co-organizing the 2021 ICML Workshop on Distribution-free Uncertainty Quantification , which will take place on Saturday, July 24, 2021.

April, 2021 Shift-variant deblurring for rotationally symmetric systems was accepted to the OSA COSI conference.

Recent publications
    • A. N. Angelopoulos
    • S. Bates
    A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification. 2021.
    • A. N. Angelopoulos*
    • S. Bates*
    • T. Zrnic*
    • M. I. Jordan
    Private Prediction Sets. 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.
    • A. N. Angelopoulos*
    • J. Martel*
    • A. P. Kohli
    • G. Wetzstein
    Event-Based, Near-Eye Gaze Tracking Beyond 10,000Hz. 2020.