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2302.14545
Cited By
Modern Bayesian Experimental Design
28 February 2023
Tom Rainforth
Adam Foster
Desi R. Ivanova
Freddie Bickford-Smith
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Papers citing
"Modern Bayesian Experimental Design"
17 / 17 papers shown
Title
Fusing Foveal Fixations Using Linear Retinal Transformations and Bayesian Experimental Design
Christopher K. I. Williams
27
0
0
02 May 2025
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection
Abrar Anwar
Rohan Gupta
Zain Merchant
Sayan Ghosh
Willie Neiswanger
Jesse Thomason
OffRL
64
0
0
14 Feb 2025
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions
Cen Li
Marc Toussaint
Barbara Rakitsch
Christoph Zimmer
OffRL
98
0
0
26 Jan 2025
Bayesian Adaptive Calibration and Optimal Design
Rafael Oliveira
Dino Sejdinovic
David Howard
Edwin Bonilla
113
0
0
20 Jan 2025
Amortized Bayesian Experimental Design for Decision-Making
Daolang Huang
Yujia Guo
Luigi Acerbi
Samuel Kaski
44
2
0
03 Jan 2025
Proxy-informed Bayesian transfer learning with unknown sources
Sabina J. Sloman
Julien Martinelli
Samuel Kaski
30
0
0
05 Nov 2024
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
Paula Cordero-Encinar
Tobias Schröder
P. Yatsyshin
Andrew Duncan
45
0
0
15 Oct 2024
Bayesian Experimental Design via Contrastive Diffusions
Jacopo Iollo
Christophe Heinkelé
Pierre Alliez
Florence Forbes
26
0
0
15 Oct 2024
Temporal-Difference Variational Continual Learning
L. Melo
Alessandro Abate
Yarin Gal
BDL
CLL
VLM
44
0
0
10 Oct 2024
Active Diffusion Subsampling
Oisin Nolan
Tristan S. W. Stevens
Wessel L. van Nierop
Ruud J. G. van Sloun
DiffM
MedIm
30
2
0
20 Jun 2024
Variational Bayesian Optimal Experimental Design with Normalizing Flows
Jiayuan Dong
Christian L. Jacobsen
Mehdi Khalloufi
Maryam Akram
Wanjiao Liu
Karthik Duraisamy
Xun Huan
BDL
54
5
0
08 Apr 2024
Bayesian Optimisation Against Climate Change: Applications and Benchmarks
Sigrid Passano Hellan
Christopher G. Lucas
Nigel H. Goddard
27
1
0
07 Jun 2023
Prediction-Oriented Bayesian Active Learning
Freddie Bickford-Smith
Andreas Kirsch
Sebastian Farquhar
Y. Gal
Adam Foster
Tom Rainforth
27
27
0
17 Apr 2023
Design Amortization for Bayesian Optimal Experimental Design
Noble Kennamer
Steven Walton
Alexander Ihler
21
5
0
07 Oct 2022
Robust Expected Information Gain for Optimal Bayesian Experimental Design Using Ambiguity Sets
Jinwook Go
T. Isaac
16
10
0
20 May 2022
Test Distribution-Aware Active Learning: A Principled Approach Against Distribution Shift and Outliers
Andreas Kirsch
Tom Rainforth
Y. Gal
OOD
TTA
24
22
0
22 Jun 2021
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
401
0
06 Mar 2017
1