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May, 2022
在线贝叶斯推断、主动学习和主动采样中的边际和联合交叉熵和预测
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling
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Andreas Kirsch, Jannik Kossen, Yarin Gal
TL;DR
本文讨论了贝叶斯深度学习中联合预测的重要性以及实际应用,提出了使用主动学习和主动采样进行评估的新挑战性设置,并提出了需改进的实现联合预测的问题。
Abstract
Principled
bayesian deep learning
(BDL) does not live up to its potential when we only focus on marginal predictive distributions (marginal predictives). Recent works have highlighted the importance of
joint predictives
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