Variational Bayesian optimal experimental design
Bayesian optimal experimental design (BOED) is a principled framework for making efficient use of limited experimental resources. Unfortunately, its applicability is hampered by the difficulty of obtaining accurate estimates of the expected information gain (EIG) of an experiment. To address this, w...
المؤلفون الرئيسيون: | Foster, A, Jankowiak, M, Bingham, E, Horsfall, P, Tee, YW, Rainforth, T, Goodman, N |
---|---|
التنسيق: | Conference item |
منشور في: |
Conference on Neural Information Processing Systems
2019
|
مواد مشابهة
-
A unified stochastic gradient approach to designing Bayesian-optimal experiments
حسب: Foster, A, وآخرون
منشور في: (2020) -
Modern Bayesian experimental design
حسب: Rainforth, T, وآخرون
منشور في: (2024) -
Variational, Monte Carlo and policy-based approaches to Bayesian experimental design
حسب: Foster, AE
منشور في: (2021) -
Making better use of unlabelled data in Bayesian Active learning
حسب: Bickford Smith, F, وآخرون
منشور في: (2024) -
Bayesian Optimization for Probabilistic Programs
حسب: Rainforth, T, وآخرون
منشور في: (2016)