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

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

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.

- 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.