Mixability of integral losses: A key to efficient online aggregation of functional and probabilistic forecasts-Reference-Cited by-同舟云学术

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Mixability of integral losses: A key to efficient online aggregation of functional and probabilistic forecasts

Published:2021-12 Issue: Volume:120 Page:108175
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Korotin Alexander,V’yugin Vladimir,Burnaev Evgeny

Funder

Russian Foundation for Basic Research

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference45 articles.

1. Adaptive Online Learning;Adamskiy,2013

2. Aggregating algorithm for prediction of packs;Adamskiy;Mach Learn,2019

3. Putting bayes to sleep;Adamskiy,2012

4. A characteristic function approach to deep implicit generative modeling;Ansari,2020

5. Wasserstein generative adversarial networks;Arjovsky,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CRPS-based online learning for nonlinear probabilistic forecast combination;International Journal of Forecasting;2024-10

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