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2202.00821
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Optimizing Sequential Experimental Design with Deep Reinforcement Learning
International Conference on Machine Learning (ICML), 2022
2 February 2022
Tom Blau
Edwin V. Bonilla
Iadine Chadès
Amir Dezfouli
BDL
OffRL
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Papers citing
"Optimizing Sequential Experimental Design with Deep Reinforcement Learning"
26 / 26 papers shown
A Geometric Approach to Optimal Experimental Design
Gavin Kerrigan
C. A. Naesseth
Tom Rainforth
OT
277
0
0
16 Oct 2025
BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design
Deepro Choudhury
Sinead Williamson
Adam Goliñski
Ning Miao
Freddie Bickford-Smith
Michael Kirchhof
Yizhe Zhang
Tom Rainforth
194
2
0
28 Aug 2025
Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design
Jacopo Iollo
Geoffroy Oudoumanessah
Carole Lartizien
M. Dojat
Florence Forbes
DiffM
MedIm
192
0
0
19 Jun 2025
Generalization Analysis for Bayesian Optimal Experiment Design under Model Misspecification
Roubing Tang
Sabina J. Sloman
Samuel Kaski
CML
143
0
0
09 Jun 2025
ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition
Daolang Huang
Xinyi Wen
Ayush Bharti
Samuel Kaski
Luigi Acerbi
230
2
0
08 Jun 2025
Dynamic Angle Selection in X-Ray CT: A Reinforcement Learning Approach to Optimal Stopping
Tianyuan Wang
F. Lucka
D. Pelt
K. Batenburg
Tristan van Leeuwen
282
1
0
16 Mar 2025
PABBO: Preferential Amortized Black-Box Optimization
International Conference on Learning Representations (ICLR), 2025
Xinyu Zhang
Daolang Huang
Samuel Kaski
Julien Martinelli
240
4
0
02 Mar 2025
Bayesian Adaptive Calibration and Optimal Design
Neural Information Processing Systems (NeurIPS), 2024
Rafael Oliveira
Dino Sejdinovic
David Howard
Edwin Bonilla
576
0
0
20 Jan 2025
Amortized Bayesian Experimental Design for Decision-Making
Neural Information Processing Systems (NeurIPS), 2024
Daolang Huang
Yujia Guo
Luigi Acerbi
Samuel Kaski
383
10
0
03 Jan 2025
Bayesian Experimental Design via Contrastive Diffusions
International Conference on Learning Representations (ICLR), 2024
Jacopo Iollo
Christophe Heinkelé
Pierre Alliez
Florence Forbes
348
6
0
15 Oct 2024
Amortized Active Causal Induction with Deep Reinforcement Learning
Yashas Annadani
P. Tigas
Stefan Bauer
Adam Foster
260
4
0
26 May 2024
Amortized nonmyopic active search via deep imitation learning
Quan Nguyen
Anindya Sarkar
Roman Garnett
255
2
0
23 May 2024
Nesting Particle Filters for Experimental Design in Dynamical Systems
Sahel Iqbal
Adrien Corenflos
Simo Särkkä
Hany Abdulsamad
275
8
0
12 Feb 2024
PASOA- PArticle baSed Bayesian Optimal Adaptive design
International Conference on Machine Learning (ICML), 2024
Jacopo Iollo
Christophe Heinkelé
Pierre Alliez
Florence Forbes
301
4
0
11 Feb 2024
Bayesian Active Learning in the Presence of Nuisance Parameters
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Sabina J. Sloman
Ayush Bharti
Julien Martinelli
Samuel Kaski
373
4
0
23 Oct 2023
Amortised Design Optimization for Item Response Theory
International Conference on Artificial Intelligence in Education (AIED), 2023
Antti Keurulainen
Isak Westerlund
Oskar Keurulainen
Andrew Howes
158
0
0
19 Jul 2023
Amortised Experimental Design and Parameter Estimation for User Models of Pointing
International Conference on Human Factors in Computing Systems (CHI), 2023
Antti Keurulainen
Isak Westerlund
Oskar Keurulainen
Andrew Howes
205
7
0
19 Jul 2023
Variational Sequential Optimal Experimental Design using Reinforcement Learning
Computer Methods in Applied Mechanics and Engineering (CMAME), 2023
Wanggang Shen
Jiayuan Dong
Xun Huan
233
12
0
17 Jun 2023
Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators
Tom Blau
Iadine Chadès
Amir Dezfouli
Daniel M. Steinberg
Edwin V. Bonilla
283
2
0
29 May 2023
Online simulator-based experimental design for cognitive model selection
Computational Brain & Behavior (CBB), 2023
Alexander Aushev
Aini Putkonen
Grégoire Clarté
Suyog H. Chandramouli
Luigi Acerbi
Samuel Kaski
Andrew Howes
181
3
0
03 Mar 2023
Modern Bayesian Experimental Design
Statistical Science (Statist. Sci.), 2023
Tom Rainforth
Adam Foster
Desi R. Ivanova
Freddie Bickford-Smith
322
166
0
28 Feb 2023
Differentiable Multi-Target Causal Bayesian Experimental Design
International Conference on Machine Learning (ICML), 2023
Yashas Annadani
P. Tigas
Desi R. Ivanova
Andrew Jesson
Y. Gal
Adam Foster
Stefan Bauer
BDL
CML
300
14
0
21 Feb 2023
GFlowNets for AI-Driven Scientific Discovery
Digital Discovery (DD), 2023
Moksh Jain
T. Deleu
Jason S. Hartford
Cheng-Hao Liu
Alex Hernandez-Garcia
Yoshua Bengio
AI4CE
329
76
0
01 Feb 2023
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
International Conference on Learning Representations (ICLR), 2022
Stefano B. Blumberg
Paddy J. Slator
Daniel C. Alexander
417
1
0
13 Oct 2022
Policy-Based Bayesian Experimental Design for Non-Differentiable Implicit Models
Vincent Lim
Ellen R. Novoseller
Jeffrey Ichnowski
Huang Huang
Ken Goldberg
OffRL
220
15
0
08 Mar 2022
Optimal sequential decision making with probabilistic digital twins
SN Applied Sciences (SN Appl. Sci.), 2021
C. Agrell
Kristina Rognlien Dahl
A. Hafver
180
10
0
12 Mar 2021
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