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2005.08414
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Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs
18 May 2020
T. Goda
Tomohiko Hironaka
Wataru Kitade
Adam Foster
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Papers citing
"Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs"
13 / 13 papers shown
Title
Evasion Attacks Against Bayesian Predictive Models
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Multilevel neural simulation-based inference
Yuga Hikida
Ayush Bharti
Niall Jeffrey
F. Briol
70
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06 Jun 2025
Bayesian Experimental Design via Contrastive Diffusions
Jacopo Iollo
Christophe Heinkelé
Pierre Alliez
Florence Forbes
134
1
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15 Oct 2024
When are Unbiased Monte Carlo Estimators More Preferable than Biased Ones?
Guanyang Wang
Jose Blanchet
Peter Glynn
92
1
0
01 Apr 2024
Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
Shangda Yang
Vitaly Zankin
Maximilian Balandat
Stefan Scherer
Kevin Carlberg
Neil S. Walton
Kody J. H. Law
99
3
0
03 Feb 2024
Leveraging Nested MLMC for Sequential Neural Posterior Estimation with Intractable Likelihoods
Xiliang Yang
Yifei Xiong
Zhijian He
84
0
0
30 Jan 2024
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design
Ziqiao Ao
Jinglai Li
81
2
0
19 Aug 2023
Modern Bayesian Experimental Design
Tom Rainforth
Adam Foster
Desi R. Ivanova
Freddie Bickford-Smith
121
88
0
28 Feb 2023
Optimal randomized multilevel Monte Carlo for repeatedly nested expectations
Yasa Syed
Guanyang Wang
73
5
0
10 Jan 2023
Constructing unbiased gradient estimators with finite variance for conditional stochastic optimization
T. Goda
Wataru Kitade
84
3
0
04 Jun 2022
Unbiased Multilevel Monte Carlo methods for intractable distributions: MLMC meets MCMC
Guanyang Wang
T. Wang
89
15
0
11 Apr 2022
Sequential Bayesian experimental designs via reinforcement learning
Hikaru Asano
OffRL
80
0
0
14 Feb 2022
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
Adam Foster
Desi R. Ivanova
Ilyas Malik
Tom Rainforth
78
85
0
03 Mar 2021
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