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Ensemble Inference Methods for Models With Noisy and Expensive
  Likelihoods

Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods

7 April 2021
Oliver R. A. Dunbar
Andrew B. Duncan
Andrew M. Stuart
Marie-Therese Wolfram
ArXivPDFHTML

Papers citing "Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods"

6 / 6 papers shown
Title
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
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
63
13
0
03 Jan 2025
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features
Oliver R. A. Dunbar
Nicholas H. Nelsen
Maya Mutic
25
5
0
30 Jun 2024
Randomized Maximum Likelihood via High-Dimensional Bayesian Optimization
Randomized Maximum Likelihood via High-Dimensional Bayesian Optimization
Valentin Breaz
Richard D. Wilkinson
19
0
0
17 Apr 2022
Optimality in Noisy Importance Sampling
Optimality in Noisy Importance Sampling
F. Llorente
Luca Martino
Jesse Read
D. Delgado
39
5
0
07 Jan 2022
Calibration and Uncertainty Quantification of Convective Parameters in
  an Idealized GCM
Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM
Oliver R. A. Dunbar
A. Garbuno-Iñigo
T. Schneider
Andrew M. Stuart
19
58
0
24 Dec 2020
Maximum Likelihood Drift Estimation for Multiscale Diffusions
Maximum Likelihood Drift Estimation for Multiscale Diffusions
A. Papavasiliou
G. Pavliotis
Andrew M. Stuart
69
65
0
19 Jun 2008
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