- Ilia Nouretdinov, Alex Gammerman:
The Venn-ABERS Testing for Change-Point Detection. COPA 2023: 367-368 - Tien-Dung Pham, Uwe Aickelin, Robert Bassett:
Capturing prediction uncertainty in upstream cell culture models using conformal prediction and Gaussian processes. COPA 2023: 169-171 - Drew Prinster, Suchi Saria, Anqi Liu:
Efficient Approximate Predictive Inference Under Feedback Covariate Shift with Influence Functions. COPA 2023: 324-327 - Come Rodriguez, Vitor Martin Bordini, Sébastien Destercke, Benjamin Quost:
Self Learning using Venn-Abers predictors. COPA 2023: 234-250 - Evgueni N. Smirnov:
Coverage vs Acceptance-Error Curves for Conformal Classification Models. COPA 2023: 534-545 - Abdelmouaiz Tebjou, Goran Frehse, Faïcel Chamroukhi:
Data-driven Reachability using Christoffel Functions and Conformal Prediction. COPA 2023: 194-213 - Vladimir G. Trunov, Vladimir V. V'yugin:
Online aggregation of conformal predictive systems. COPA 2023: 430-449 - Chhavi Tyagi, Wenge Guo:
Multi-label Classification under Uncertainty: A Tree-based Conformal Prediction Approach. COPA 2023: 488-512 - Nasir Uddin, Tuwe Löfström:
Applications of Conformal Regression on Real-world Industrial Use Cases using Crepes and MAPIE. COPA 2023: 147-165 - Rahul Vishwakarma, Mahshid Fardadi, Bing Liu:
Variable Sparing of Disk Drives Based on Failure Analysis. COPA 2023: 172-174 - Rahul Vishwakarma, Jinha Hwang, Soundouss Messoudi, Ava Hedayatipour:
Enterprise Disk Drive Scrubbing Based on Mondrian Conformal Predictors. COPA 2023: 56-73 - Vladimir Vovk:
The power of forgetting in statistical hypothesis testing. COPA 2023: 347-366 - Preface. COPA 2023: 1-4
- Harris Papadopoulos, Khuong An Nguyen, Henrik Boström, Lars Carlsson:
Conformal and Probabilistic Prediction with Applications, 13-15 September 2023, Limassol, Cyprus. Proceedings of Machine Learning Research 204, PMLR 2023 [contents]