Bates, Stephen

A gentle introduction to conformal prediction and distribution-free uncertainty quantification

Angelopoulos, A. N., & Bates, S. (2021) · arXiv

Adversarial Robustness in Machine LearningMachine Learning and Algorithms

Cited by 240

Distribution-free, Risk-controlling Prediction Sets

Bates, S., Angelopoulos, A., Lei, L., Malik, J., & Jordan, M. (2021) · Journal of the ACM

Adversarial Robustness in Machine LearningMachine Learning and Algorithms

Cited by 144

Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

Angelopoulos, A. N., Bates, S., Candès, E. J., Jordan, M. I., & Lei, L. (2021) · arXiv

Machine Learning and AlgorithmsMachine Learning and Data Classification

Cited by 100

Uncertainty Sets for Image Classifiers using Conformal Prediction

Angelopoulos, A., Bates, S., Malik, J., & Jordan, M. I. (2020) · arXiv

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 79

Conformal Risk Control

Angelopoulos, A. N., Bates, S., Fisch, A., Lei, L., & Schuster, T. (2022) · arXiv

Machine Learning and AlgorithmsMachine Learning and Data Classification

Cited by 37

Private Prediction Sets

Angelopoulos, A. N., Bates, S., Zrnic, T., & Jordan, M. I. (2022) · Harvard Data Science Review

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 8