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Anastasios Nikolas Angelopoulos
Anastasios Nikolas Angelopoulos
PhD Candidate, EECS, University of California, Berkeley
Zweryfikowany adres z berkeley.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
A gentle introduction to conformal prediction and distribution-free uncertainty quantification
AN Angelopoulos, S Bates
arXiv preprint arXiv:2107.07511, 2021
882021
Uncertainty sets for image classifiers using conformal prediction
A Angelopoulos*, S Bates*, J Malik, MI Jordan
International Conference on Learning Representations, 2020
832020
Distribution-free, risk-controlling prediction sets
S Bates*, A Angelopoulos*, L Lei*, J Malik, MI Jordan
Journal of the ACM 68 (6), 2021
662021
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
642020
Gaze-contingent ocular parallax rendering for virtual reality
R Konrad, A Angelopoulos, G Wetzstein
ACM Transactions on Graphics (TOG) 39 (2), 1-12, 2020
472020
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
312019
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
262021
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
252020
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, ...
arXiv preprint arXiv:2202.05265, 2022
152022
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
11*2022
Conformal risk control
AN Angelopoulos, S Bates, A Fisch, L Lei, T Schuster
arXiv preprint arXiv:2208.02814, 2022
11*2022
Private Prediction Sets
AN Angelopoulos*, S Bates*, T Zrnic*, MI Jordan
arXiv preprint arXiv:2102.06202, 2021
42021
Universal pickup
AN Angelopoulos
US Patent 8,993,868, 2015
42015
Semantic uncertainty intervals for disentangled latent spaces
S Sankaranarayanan, AN Angelopoulos, S Bates, Y Romano, P Isola
arXiv preprint arXiv:2207.10074, 2022
32022
Conformal Prediction is Robust to Label Noise
BS Einbinder, S Bates, AN Angelopoulos, A Gendler, Y Romano
arXiv preprint arXiv:2209.14295, 2022
12022
Recommendation Systems with Distribution-Free Reliability Guarantees
AN Angelopoulos*, K Krauth*, S Bates, Y Wang, MI Jordan
arXiv preprint arXiv:2207.01609, 2022
12022
Linear Revolution-Invariance: Modeling and Deblurring Spatially-Varying Imaging Systems
A Kohli*, AN Angelopoulos*, S You, K Yanny, L Waller
arXiv preprint arXiv:2206.08928, 2022
12022
Prediction-Powered Inference
AN Angelopoulos, S Bates, C Fannjiang, MI Jordan, T Zrnic
arXiv preprint arXiv:2301.09633, 2023
2023
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets
C Lu*, AN Angelopoulos*, S Pomerantz
arXiv preprint arXiv:2207.02238, 2022
2022
Online Active Learning with Dynamic Marginal Gain Thresholding
MA Werner, A Angelopoulos, S Bates, MI Jordan
arXiv preprint arXiv:2201.10547, 2022
2022
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