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Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods

Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods

Oliver R. A. Dunbar
Andrew B. Duncan
Andrew M. Stuart
Marie-Therese Wolfram
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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
74
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
35
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
41
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
75
65
0
19 Jun 2008