Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation

19 February 2020

Papers citing "Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation"

15 / 15 papers shown

Title
Amortized Bayesian Experimental Design for Decision-Making Daolang Huang Yujia Guo Luigi Acerbi Samuel Kaski 48 2 0 03 Jan 2025
Variational Bayesian Optimal Experimental Design with Normalizing Flows Jiayuan Dong Christian L. Jacobsen Mehdi Khalloufi Maryam Akram Wanjiao Liu Karthik Duraisamy Xun Huan BDL 54 5 0 08 Apr 2024
Leveraging Nested MLMC for Sequential Neural Posterior Estimation with Intractable Likelihoods Xiliang Yang Yifei Xiong Zhijian He 34 0 0 30 Jan 2024
Amortised Experimental Design and Parameter Estimation for User Models of Pointing Antti Keurulainen Isak Westerlund Oskar Keurulainen Andrew Howes 28 7 0 19 Jul 2023
Bayesian Optimisation Against Climate Change: Applications and Benchmarks Sigrid Passano Hellan Christopher G. Lucas Nigel H. Goddard 34 1 0 07 Jun 2023
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 37 77 0 28 Feb 2023
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development Nghia Duong-Trung Stefan Born Jong Woo Kim M. Schermeyer Katharina Paulick ... Thorben Werner Randolf Scholz Lars Schmidt-Thieme Peter Neubauer Ernesto Martinez 34 20 0 02 Sep 2022
An Optimal Likelihood Free Method for Biological Model Selection Vincent D. Zaballa E. Hui 34 0 0 03 Aug 2022
Robust Expected Information Gain for Optimal Bayesian Experimental Design Using Ambiguity Sets Jinwook Go T. Isaac 21 10 0 20 May 2022
Statistical applications of contrastive learning Michael U. Gutmann Steven Kleinegesse Benjamin Rhodes 24 7 0 29 Apr 2022
Sequential Bayesian experimental designs via reinforcement learning Hikaru Asano OffRL 18 0 0 14 Feb 2022
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods Desi R. Ivanova Adam Foster Steven Kleinegesse Michael U. Gutmann Tom Rainforth OffRL 21 46 0 03 Nov 2021
Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds Steven Kleinegesse Michael U. Gutmann FedML 33 25 0 10 May 2021
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design Adam Foster Desi R. Ivanova Ilyas Malik Tom Rainforth 28 78 0 03 Mar 2021
Optimal Bayesian experimental design for subsurface flow problems Alexander Tarakanov A. Elsheikh 9 10 0 10 Aug 2020