TY - CONF
T1 - Preface for the Proceedings of Machine Learning Research Volume 152
AU - Carlsson, Lars
AU - Luo, Zhiyuan
AU - Cherubin, Giovanni
AU - Nguyen, Khuong An
N1 - 10th Symposium on Conformal and Probabilistic Prediction with Applications ; Conference date: 08-09-2021 Through 10-09-2021
PY - 2021/9/10
Y1 - 2021/9/10
N2 - This volume contains the Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2021), co-organised by Royal Holloway, University of London, and University of Brighton, UK. This year the Symposium is held online on September 8–10, 2021. This due to the ongoing Covid-19 pandemic. Hopefully, we will all be able to meet face-to-face next year.For general information about conformal prediction and its sister methods, see the preface to the Proceedings of COPA 2017 (volume 60 of the PMLR), Proceedings of COPA 2018 (volume 91 of the PMLR), Proceedings of COPA 2019 (volume 105 of the PMLR), and Proceedings of COPA 2020 (volume 128 of the PMLR).Overall, 15 papers have been accepted for publication in the Proceedings of Machine Learning Research, and an additional paper describing the tool Orange that is covered in the tutorials.
AB - This volume contains the Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2021), co-organised by Royal Holloway, University of London, and University of Brighton, UK. This year the Symposium is held online on September 8–10, 2021. This due to the ongoing Covid-19 pandemic. Hopefully, we will all be able to meet face-to-face next year.For general information about conformal prediction and its sister methods, see the preface to the Proceedings of COPA 2017 (volume 60 of the PMLR), Proceedings of COPA 2018 (volume 91 of the PMLR), Proceedings of COPA 2019 (volume 105 of the PMLR), and Proceedings of COPA 2020 (volume 128 of the PMLR).Overall, 15 papers have been accepted for publication in the Proceedings of Machine Learning Research, and an additional paper describing the tool Orange that is covered in the tutorials.
M3 - Paper
ER -