Anastasios Angelopoulos

According to our database, Anastasios Angelopoulos authored at least 30 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction.

Drew T. Nguyen, Reese Pathak, Anastasios N. Angelopoulos, Stephen Bates, Michael I. Jordan

CoRR, 2024

AutoEval Done Right: Using Synthetic Data for Model Evaluation.

Pierre Boyeau, Anastasios N. Angelopoulos, Nir Yosef, Jitendra Malik, Michael I. Jordan

CoRR, 2024

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

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

CoRR, 2024

Wavefront Randomization Improves Deconvolution.

Amit P. S. Kohli, Anastasios N. Angelopoulos, Laura Waller

CoRR, 2024

Online conformal prediction with decaying step sizes.

Anastasios N. Angelopoulos, Rina Foygel Barber, Stephen Bates

CoRR, 2024

2023

Conformal Prediction: A Gentle Introduction.

Anastasios N. Angelopoulos, Stephen Bates

Found. Trends Mach. Learn., 2023

Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts.

Huang Huang, Satvik Sharma, Antonio Loquercio, Anastasios Angelopoulos, Ken Goldberg, Jitendra Malik

CoRR, 2023

PPI++: Efficient Prediction-Powered Inference.

Anastasios N. Angelopoulos, John C. Duchi, Tijana Zrnic

CoRR, 2023

Learned, Uncertainty-driven Adaptive Acquisition for Photon-Efficient Multiphoton Microscopy.

Cassandra Tong Ye, Jiashu Han, Kunzan Liu, Anastasios Angelopoulos, Linda Griffith, Kristina Monakhova, Sixian You

CoRR, 2023

Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions.

Jordan Lekeufack, Anastasios N. Angelopoulos, Andrea Bajcsy, Michael I. Jordan, Jitendra Malik

CoRR, 2023

Prediction-Powered Inference.

Anastasios N. Angelopoulos, Stephen Bates, Clara Fannjiang, Michael I. Jordan, Tijana Zrnic

CoRR, 2023

Class-Conditional Conformal Prediction with Many Classes.

Tiffany Ding, Anastasios Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J. Tibshirani

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Conformal PID Control for Time Series Prediction.

Anastasios Angelopoulos, Emmanuel J. Candès, Ryan J. Tibshirani

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Conformal Prediction is Robust to Dispersive Label Noise.

Shai Feldman, Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

Recommendation Systems with Distribution-Free Reliability Guarantees.

Anastasios N. Angelopoulos, Karl Krauth, Stephen Bates, Yixin Wang, Michael I. Jordan

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2022

Conformal Prediction is Robust to Label Noise.

Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano

CoRR, 2022

Conformal Risk Control.

Anastasios N. Angelopoulos, Stephen Bates, Adam Fisch, Lihua Lei, Tal Schuster

CoRR, 2022

Conformal prediction for the design problem.

Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos, Jennifer Listgarten, Michael I. Jordan

CoRR, 2022

Online Active Learning with Dynamic Marginal Gain Thresholding.

Mariel A. Werner, Anastasios Angelopoulos, Stephen Bates, Michael I. Jordan

CoRR, 2022

Semantic uncertainty intervals for disentangled latent spaces.

Swami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets.

Charles Lu, Anastasios N. Angelopoulos, Stuart R. Pomerantz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging.

Anastasios N. Angelopoulos, Amit Pal Singh Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano

Proceedings of the International Conference on Machine Learning, 2022

2021

Event-Based Near-Eye Gaze Tracking Beyond 10, 000 Hz.

Anastasios N. Angelopoulos, Julien N. P. Martel, Amit P. S. Kohli, Jörg Conradt, Gordon Wetzstein

IEEE Trans. Vis. Comput. Graph., 2021

Distribution-free, Risk-controlling Prediction Sets.

Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik, Michael I. Jordan

J. ACM, 2021

Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control.

Anastasios N. Angelopoulos, Stephen Bates, Emmanuel J. Candès, Michael I. Jordan, Lihua Lei

CoRR, 2021

A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

Anastasios N. Angelopoulos, Stephen Bates

CoRR, 2021

Private Prediction Sets.

Anastasios N. Angelopoulos, Stephen Bates, Tijana Zrnic, Michael I. Jordan

CoRR, 2021

Uncertainty Sets for Image Classifiers using Conformal Prediction.

Anastasios Nikolas Angelopoulos, Stephen Bates, Michael I. Jordan, Jitendra Malik

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Gaze-Contingent Ocular Parallax Rendering for Virtual Reality.

Robert Konrad, Anastasios Angelopoulos, Gordon Wetzstein

ACM Trans. Graph., 2020

Event Based, Near Eye Gaze Tracking Beyond 10, 000Hz.

Anastasios N. Angelopoulos, Julien N. P. Martel, Amit P. S. Kohli, Jörg Conradt, Gordon Wetzstein

CoRR, 2020