Adaptive quadrature schemes for Bayesian inference via active learning

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Adaptive quadrature schemes for Bayesian inference via active learning

31 May 2020

J. Lopez-Santiago

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Papers citing "Adaptive quadrature schemes for Bayesian inference via active learning"

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Title
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC F. Llorente Luca Martino Jesse Read D. Delgado OffRL 165 14 0 03 Jan 2025
Performance Analysis of Sequential Experimental Design for Calibration in Parallel Computing Environments Özge Sürer Stefan M. Wild 86 1 0 01 Dec 2024
Fast and robust Bayesian Inference using Gaussian Processes with GPry Jonas El Gammal Nils Schöneberg J. Torrado C. Fidler GP 99 16 0 03 Nov 2022
Bayesian Active Learning with Fully Bayesian Gaussian Processes Christoffer Riis Francisco Antunes F. B. Hüttel C. L. Azevedo Francisco Câmara Pereira GP 98 24 0 20 May 2022
Optimality in Noisy Importance Sampling F. Llorente Luca Martino Jesse Read D. Delgado 102 5 0 07 Jan 2022
Deep Importance Sampling based on Regression for Model Inversion and Emulation F. Llorente Luca Martino D. Delgado G. Camps-Valls 86 19 0 20 Oct 2020
Locally induced Gaussian processes for large-scale simulation experiments D. Cole R. Christianson R. Gramacy 72 21 0 28 Aug 2020
Fast Approximate Multi-output Gaussian Processes V. Joukov Dana Kulic 20 7 0 22 Aug 2020
Bayesian Probabilistic Numerical Integration with Tree-Based Models Harrison Zhu Xing Liu Ruya Kang Zhichao Shen Seth Flaxman F. Briol TPM 42 5 0 09 Jun 2020