Affiliation:
1. Department of Engineering, King’s Communication, Learning and Information Processing (KCLIP) Laboratory, King’s College London, London, U.K.
2. Viterbi Faculty of Electrical and Computing Engineering, Technion—Israel Institute of Technology, Haifa, Israel
Funder
European Research Council (ERC) through the European Union’s Horizon 2020 Research and Innovation Programme
Open Fellowship of the Engineering and Physical Sciences Research Council
European Union’s Horizon Europe Project CENTRIC
Realising Enabling Architectures and SoluIons for Open Networks (REASON) Project, a U.K. Government
Future Open Networks Research Challenge (FONRC) sponsored by the Department of Science Innovation and Technology
European Union’s Horizon 2020 Research and Innovation Programme
German Research Foundation (DFG) via the German–Israeli Project Cooperation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Reference97 articles.
1. Finite-sample efficient conformal prediction;yang;arXiv 2104 13871,2021
2. Conformal prediction under covariate shift;tibshirani;Proc Adv Neural Inf Process Syst,2019
3. Making learning more transparent using conformalized performance prediction;holland;arXiv 2007 04486,2020
4. Trainable calibration measures for neural networks from kernel mean embeddings;kumar;Proc 35th Int Conf Mach Learn,2018
5. Predictive inference with the jackknife+