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ORCIDAnastasios Angelopoulos
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2020 – today
- 2024
[i27]Anastasios N. Angelopoulos, Rina Foygel Barber, Stephen Bates:
Online conformal prediction with decaying step sizes. CoRR abs/2402.01139 (2024)- [i26]Amit P. S. Kohli, Anastasios N. Angelopoulos, Laura Waller:
Wavefront Randomization Improves Deconvolution. CoRR abs/2402.07900 (2024) - [i25]Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Hao Zhang, Banghua Zhu, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica:
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. CoRR abs/2403.04132 (2024) - [i24]Pierre Boyeau, Anastasios N. Angelopoulos, Nir Yosef, Jitendra Malik, Michael I. Jordan:
AutoEval Done Right: Using Synthetic Data for Model Evaluation. CoRR abs/2403.07008 (2024) - [i23]Drew T. Nguyen, Reese Pathak, Anastasios N. Angelopoulos, Stephen Bates, Michael I. Jordan:
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction. CoRR abs/2403.19605 (2024) - 2023
- [j4]Anastasios N. Angelopoulos, Stephen Bates:
Conformal Prediction: A Gentle Introduction. Found. Trends Mach. Learn. 16(4): 494-591 (2023) - [c9]Anastasios N. Angelopoulos, Karl Krauth, Stephen Bates, Yixin Wang, Michael I. Jordan:
Recommendation Systems with Distribution-Free Reliability Guarantees. COPA 2023: 175-193 - [c8]Shai Feldman, Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano:
Conformal Prediction is Robust to Dispersive Label Noise. COPA 2023: 624-626 - [c7]Anastasios Angelopoulos, Emmanuel J. Candès, Ryan J. Tibshirani:
Conformal PID Control for Time Series Prediction. NeurIPS 2023 - [c6]Tiffany Ding, Anastasios Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J. Tibshirani:
Class-Conditional Conformal Prediction with Many Classes. NeurIPS 2023 - [i22]Anastasios N. Angelopoulos
, Stephen Bates, Clara Fannjiang, Michael I. Jordan, Tijana Zrnic:
Prediction-Powered Inference. CoRR abs/2301.09633 (2023) - [i21]Tiffany Ding, Anastasios N. Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J. Tibshirani:
Class-Conditional Conformal Prediction With Many Classes. CoRR abs/2306.09335 (2023) - [i20]Anastasios N. Angelopoulos, Emmanuel J. Candès, Ryan J. Tibshirani:
Conformal PID Control for Time Series Prediction. CoRR abs/2307.16895 (2023) - [i19]Jordan Lekeufack, Anastasios N. Angelopoulos, Andrea Bajcsy, Michael I. Jordan, Jitendra Malik:
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions. CoRR abs/2310.05921 (2023) - [i18]Cassandra Tong Ye, Jiashu Han, Kunzan Liu, Anastasios Angelopoulos, Linda Griffith, Kristina Monakhova, Sixian You:
Learned, Uncertainty-driven Adaptive Acquisition for Photon-Efficient Multiphoton Microscopy. CoRR abs/2310.16102 (2023) - [i17]Anastasios N. Angelopoulos, John C. Duchi, Tijana Zrnic:
PPI++: Efficient Prediction-Powered Inference. CoRR abs/2311.01453 (2023) - [i16]Huang Huang, Satvik Sharma, Antonio Loquercio, Anastasios Angelopoulos, Ken Goldberg, Jitendra Malik:
Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts. CoRR abs/2311.01457 (2023) - 2022
- [c5]Anastasios N. Angelopoulos, Amit Pal Singh Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano:
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. ICML 2022: 717-730 - [c4]Charles Lu, Anastasios N. Angelopoulos, Stuart R. Pomerantz:
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets. MICCAI (8) 2022: 545-554 - [c3]Swami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola:
Semantic uncertainty intervals for disentangled latent spaces. NeurIPS 2022 - [i15]Mariel A. Werner, Anastasios Angelopoulos, Stephen Bates, Michael I. Jordan:
Online Active Learning with Dynamic Marginal Gain Thresholding. CoRR abs/2201.10547 (2022) - [i14]Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos, Jennifer Listgarten, Michael I. Jordan:
Conformal prediction for the design problem. CoRR abs/2202.03613 (2022) - [i13]Anastasios N. Angelopoulos, Amit P. S. Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano:
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. CoRR abs/2202.05265 (2022) - [i12]Anastasios N. Angelopoulos, Karl Krauth, Stephen Bates, Yixin Wang, Michael I. Jordan:
Recommendation Systems with Distribution-Free Reliability Guarantees. CoRR abs/2207.01609 (2022) - [i11]Charles Lu, Anastasios N. Angelopoulos, Stuart R. Pomerantz:
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets. CoRR abs/2207.02238 (2022) - [i10]Swami Sankaranarayanan, Anastasios N. Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola:
Semantic uncertainty intervals for disentangled latent spaces. CoRR abs/2207.10074 (2022) - [i9]Anastasios N. Angelopoulos, Stephen Bates, Adam Fisch, Lihua Lei, Tal Schuster:
Conformal Risk Control. CoRR abs/2208.02814 (2022) - [i8]Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano:
Conformal Prediction is Robust to Label Noise. CoRR abs/2209.14295 (2022) - 2021
- [j3]Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik, Michael I. Jordan:
Distribution-free, Risk-controlling Prediction Sets. J. ACM 68(6): 43:1-43:34 (2021) - [j2]Anastasios N. Angelopoulos, Julien N. P. Martel, Amit P. S. Kohli, Jörg Conradt, Gordon Wetzstein:
Event-Based Near-Eye Gaze Tracking Beyond 10, 000 Hz. IEEE Trans. Vis. Comput. Graph. 27(5): 2577-2586 (2021) - [c2]Anastasios Nikolas Angelopoulos, Stephen Bates, Michael I. Jordan, Jitendra Malik:
Uncertainty Sets for Image Classifiers using Conformal Prediction. ICLR 2021 - [i7]Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik, Michael I. Jordan:
Distribution-Free, Risk-Controlling Prediction Sets. CoRR abs/2101.02703 (2021) - [i6]Anastasios N. Angelopoulos, Stephen Bates, Tijana Zrnic, Michael I. Jordan:
Private Prediction Sets. CoRR abs/2102.06202 (2021) - [i5]Anastasios N. Angelopoulos, Stephen Bates:
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification. CoRR abs/2107.07511 (2021) - [i4]Anastasios N. Angelopoulos, Stephen Bates, Emmanuel J. Candès, Michael I. Jordan, Lihua Lei:
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control. CoRR abs/2110.01052 (2021) - 2020
- [j1]Robert Konrad, Anastasios Angelopoulos, Gordon Wetzstein:
Gaze-Contingent Ocular Parallax Rendering for Virtual Reality. ACM Trans. Graph. 39(2): 10:1-10:12 (2020) - [i3]Anastasios N. Angelopoulos, Julien N. P. Martel, Amit P. S. Kohli, Jörg Conradt, Gordon Wetzstein:
Event Based, Near Eye Gaze Tracking Beyond 10, 000Hz. CoRR abs/2004.03577 (2020) - [i2]Anastasios Angelopoulos, Stephen Bates, Jitendra Malik, Michael I. Jordan:
Uncertainty Sets for Image Classifiers using Conformal Prediction. CoRR abs/2009.14193 (2020)
2010 – 2019
- 2019
- [c1]Robert Konrad, Anastasios Angelopoulos, Gordon Wetzstein:
Gaze-contingent ocular parallax rendering for virtual reality. SIGGRAPH Talks 2019: 56:1-56:2 - [i1]Robert Konrad, Anastasios Angelopoulos, Gordon Wetzstein:
Gaze-Contingent Ocular Parallax Rendering for Virtual Reality. CoRR abs/1906.09740 (2019)
Coauthor Index
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