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Unbiased MLMC stochastic gradient-based optimization of Bayesian
  experimental designs
v1v2v3 (latest)

Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs

18 May 2020
T. Goda
Tomohiko Hironaka
Wataru Kitade
Adam Foster
ArXiv (abs)PDFHTML

Papers citing "Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs"

13 / 13 papers shown
Title
Evasion Attacks Against Bayesian Predictive Models
Pablo G. Arce
Roi Naveiro
D. Insua
AAML
81
0
0
11 Jun 2025
Multilevel neural simulation-based inference
Multilevel neural simulation-based inference
Yuga Hikida
Ayush Bharti
Niall Jeffrey
F. Briol
70
0
0
06 Jun 2025
Bayesian Experimental Design via Contrastive Diffusions
Bayesian Experimental Design via Contrastive Diffusions
Jacopo Iollo
Christophe Heinkelé
Pierre Alliez
Florence Forbes
134
1
0
15 Oct 2024
When are Unbiased Monte Carlo Estimators More Preferable than Biased
  Ones?
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
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
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
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
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
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
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
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
Sequential Bayesian experimental designs via reinforcement learning
Hikaru Asano
OffRL
80
0
0
14 Feb 2022
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
Adam Foster
Desi R. Ivanova
Ilyas Malik
Tom Rainforth
78
85
0
03 Mar 2021
1