Efficient Bayesian Experimental Design for Implicit Models

23 October 2018

Papers citing "Efficient Bayesian Experimental Design for Implicit Models"

12 / 12 papers shown

Title
Bayesian Adaptive Calibration and Optimal Design Rafael Oliveira Dino Sejdinovic David Howard Edwin Bonilla 113 0 0 20 Jan 2025
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 37 77 0 28 Feb 2023
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song Lantao Yu W. Neiswanger Stefano Ermon 38 23 0 27 Jun 2022
Statistical applications of contrastive learning Michael U. Gutmann Steven Kleinegesse Benjamin Rhodes 24 7 0 29 Apr 2022
Interventions, Where and How? Experimental Design for Causal Models at Scale P. Tigas Yashas Annadani Andrew Jesson Bernhard Schölkopf Y. Gal Stefan Bauer CML 36 48 0 03 Mar 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
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning Wanggang Shen Xun Huan 11 40 0 28 Oct 2021
GaussED: A Probabilistic Programming Language for Sequential Experimental Design Matthew A. Fisher Onur Teymur Chris J. Oates 40 1 0 15 Oct 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
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information W. Neiswanger Ke Alexander Wang Stefano Ermon MLAU 34 30 0 19 Apr 2021
Optimal Bayesian experimental design for subsurface flow problems Alexander Tarakanov A. Elsheikh 14 10 0 10 Aug 2020
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation Steven Kleinegesse Michael U. Gutmann 26 64 0 19 Feb 2020