Anastasios Nikolas Angelopoulos
Anastasios Nikolas Angelopoulos
Other namesAnastasios Angelopoulos, Anastasios N. Angelopoulos
Verified email at - Homepage
Cited by
Cited by
Conformal Prediction: A Gentle Introduction
AN Angelopoulos, S Bates
Foundations and Trends® in Machine Learning 16 (4), 494-591, 2023
Uncertainty sets for image classifiers using conformal prediction
A Angelopoulos*, S Bates*, J Malik, MI Jordan
International Conference on Learning Representations, 2020
Distribution-free, risk-controlling prediction sets
S Bates*, A Angelopoulos*, L Lei*, J Malik, MI Jordan
Journal of the ACM 68 (6), 2021
Learn then test: Calibrating predictive algorithms to achieve risk control
AN Angelopoulos, S Bates, EJ Candès, MI Jordan, L Lei
arXiv preprint arXiv:2110.01052, 2021
On identifying and mitigating bias in the estimation of the COVID-19 case fatality rate
AN Angelopoulos, R Pathak, R Varma, MI Jordan
Harvard Data Science Review, 2020
Gaze-contingent ocular parallax rendering for virtual reality
R Konrad, A Angelopoulos, G Wetzstein
ACM Transactions on Graphics (TOG) 39 (2), 1-12, 2020
Event-based, near-eye gaze tracking beyond 10,000 Hz
AN Angelopoulos*, JNP Martel*, APS Kohli, J Conradt, G Wetzstein
IEEE Transactions on Visualization and Computer Graphics, 2020
Conformal risk control
AN Angelopoulos, S Bates, A Fisch, L Lei, T Schuster
International Conference on Learning Representations, 2024
Image-to-image regression with distribution-free uncertainty quantification and applications in imaging
AN Angelopoulos*, AP Kohli*, S Bates, MI Jordan, J Malik, T Alshaabi, ...
Proceedings of the 39th International Conference on Machine Learning, 717-730, 2022
Conformal prediction under feedback covariate shift for biomolecular design
C Fannjiang, S Bates, AN Angelopoulos, J Listgarten, MI Jordan
Proceedings of the National Academy of Sciences 119 (43), e2204569119, 2022
Prediction-powered inference
AN Angelopoulos*, S Bates*, C Fannjiang*, MI Jordan*, T Zrnic*
Science 382 (6671), 669-674, 2023
Enhanced depth navigation through augmented reality depth mapping in patients with low vision
AN Angelopoulos, H Ameri, D Mitra, M Humayun
Scientific reports 9 (1), 11230, 2019
Semantic uncertainty intervals for disentangled latent spaces
S Sankaranarayanan, AN Angelopoulos, S Bates, Y Romano, P Isola
Advances in Neural Information Processing Systems, 2022
Recommendation Systems with Distribution-Free Reliability Guarantees
AN Angelopoulos*, K Krauth*, S Bates, Y Wang, MI Jordan
Conformal and Probabilistic Prediction with Applications 204, 175-193, 2023
Conformal PID Control for Time Series Prediction
AN Angelopoulos, EJ Candes, RJ Tibshirani
Thirty-seventh Conference on Neural Information Processing Systems, 2023
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets
C Lu*, AN Angelopoulos*, S Pomerantz
Medical Image Computing and Computer Assisted Intervention 13438, 545–554, 2022
Private Prediction Sets
AN Angelopoulos*, S Bates*, T Zrnic*, MI Jordan
Harvard Data Science Review 4 (2), 2021
Conformal Prediction is Robust to Dispersive Label Noise
S Feldman, BS Einbinder, S Bates, AN Angelopoulos, A Gendler, ...
Conformal and Probabilistic Prediction with Applications, 624-626, 2023
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions
J Lekeufack*, AN Angelopoulos*, A Bajcsy*, MI Jordan, J Malik
arXiv preprint arXiv:2310.05921, 2023
Online active learning with dynamic marginal gain thresholding
MA Werner, A Angelopoulos, S Bates, MI Jordan
arXiv preprint arXiv:2201.10547, 2022
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