Anastasios Nikolas Angelopoulos

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Stephen BatesAssistant Professor, MIT EECSVerified email at cs.berkeley.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Jitendra MALIKProfessor of EECS, UC BerkeleyVerified email at eecs.berkeley.edu
LIHUA LEIStanford UniversityVerified email at stanford.edu
Amit Pal Singh KohliPhD Candidate, University of California, BerkeleyVerified email at berkeley.edu
Yaniv RomanoAssistant Professor of Electrical Engineering and Computer Science, Technion, IsraelVerified email at technion.ac.il
Tijana ZrnicStanford UniversityVerified email at stanford.edu
Gordon WetzsteinStanford UniversityVerified email at stanford.edu
Clara FannjiangGenentech, Prescient DesignVerified email at gene.com
Wei-Lin ChiangUC BerkeleyVerified email at berkeley.edu
Banghua ZhuUniversity of California, BerkeleyVerified email at berkeley.edu
Tianle LiUndergraduate Researcher, UC BerkeleyVerified email at berkeley.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Joseph E. GonzalezProfessor of Computer Science, UC BerkeleyVerified email at berkeley.edu
Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford UniversityVerified email at stanford.edu
Reese PathakPhD Student, UC BerkeleyVerified email at berkeley.edu
Dacheng LiUC Berkeley; NVIDIAVerified email at berkeley.edu
Lianmin ZhengxAIVerified email at x.ai
Ying ShengxAIVerified email at x.ai
Hao ZhangUC San DiegoVerified email at ucsd.edu

Anastasios Nikolas Angelopoulos

Other namesAnastasios Angelopoulos, Anastasios N. Angelopoulos

Ph.D. Student, UC Berkeley

Verified email at berkeley.edu - Homepage

artificial intelligence machine learning statistics conformal prediction computer vision


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Conformal Prediction: A Gentle Introduction AN Angelopoulos, S Bates Foundations and Trends® in Machine Learning 16 (4), 494-591, 2023	770*	2023
Uncertainty sets for image classifiers using conformal prediction A Angelopoulos, S Bates, J Malik, MI Jordan International Conference on Learning Representations, 2020	322	2020
Chatbot arena: An open platform for evaluating LLMs by human preference WL Chiang, L Zheng, Y Sheng, AN Angelopoulos, T Li, D Li, H Zhang, ... Proceedings of the 41st International Conference on Machine Learning, 2024	256	2024
Distribution-free, risk-controlling prediction sets S Bates, A Angelopoulos, L Lei*, J Malik, MI Jordan Journal of the ACM 68 (6), 2021	212	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	124	2021
Conformal risk control AN Angelopoulos, S Bates, A Fisch, L Lei, T Schuster International Conference on Learning Representations, 2024	122	2024
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	107	2020
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	98	2022
Prediction-powered inference AN Angelopoulos, S Bates, C Fannjiang, MI Jordan, T Zrnic* Science 382 (6671), 669-674, 2023	89	2023
Gaze-contingent ocular parallax rendering for virtual reality R Konrad, A Angelopoulos, G Wetzstein ACM Transactions on Graphics (TOG) 39 (2), 1-12, 2020	87	2020
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	70	2020
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	52	2022
Conformal PID Control for Time Series Prediction AN Angelopoulos, EJ Candes, RJ Tibshirani Thirty-seventh Conference on Neural Information Processing Systems, 2023	50	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	44	2019
Class-Conditional Conformal Prediction With Many Classes T Ding, AN Angelopoulos, S Bates, MI Jordan, RJ Tibshirani Thirty-seventh Conference on Neural Information Processing Systems, 2023	33	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	28	2022
PPI++: Efficient prediction-powered inference AN Angelopoulos, JC Duchi, T Zrnic arXiv preprint arXiv:2311.01453, 2023	26	2023
Conformal prediction for the design problem C Fannjiang, S Bates, AN Angelopoulos, J Listgarten, MI Jordan arXiv preprint arXiv:2202.03613, 2022	21	2022
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	20*	2023
Semantic uncertainty intervals for disentangled latent spaces S Sankaranarayanan, AN Angelopoulos, S Bates, Y Romano, P Isola Advances in Neural Information Processing Systems, 2022	20	2022

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