Drew Prinster

According to our database, Drew Prinster authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them).

Drew Prinster, Samuel Don Stanton, Anqi Liu, Suchi Saria

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift.

Drew Prinster, Suchi Saria, Anqi Liu

Proceedings of the International Conference on Machine Learning, 2023

Efficient Approximate Predictive Inference Under Feedback Covariate Shift with Influence Functions.

Drew Prinster, Suchi Saria, Anqi Liu

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2022

JAWS: Predictive Inference Under Covariate Shift.

Drew Prinster, Anqi Liu, Suchi Saria

CoRR, 2022

JAWS: Auditing Predictive Uncertainty Under Covariate Shift.

Drew Prinster, Anqi Liu, Suchi Saria

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