arXiv Machine Learning By Jinlin Lai, Antonio Linero, Yuling Yao

Predictive variational inference: Learn the predictively optimal posterior distribution

Read the original on arXiv Machine Learning →

arXiv:2410. 14843v4 Announce Type: replace-cross Abstract: Vanilla variational inference finds an optimal approximation to the Bayesian posterior distribution, but even the exact Bayesian posterior is often not meaningful under model misspecification.

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arXiv Machine Learning
Jun 15

Implicit Variational Rejection Sampling

arXiv:2606. 14235v1 Announce Type: new Abstract: Variational Inference (VI) is a fundamental inference technique in Bayesian machine learning for approximating complex posterior distributions.

By Jian Xu, Shigui Li, Wei Chen, Jiacheng Li, Zhiqi Lin, Delu Zeng, Xinghao Ding, John Paisley, Qibin Zhao