Sequential Bayesian optimal experimental design via approximate dynamic programming

28 April 2016

Youssef M. Marzouk

Papers citing "Sequential Bayesian optimal experimental design via approximate dynamic programming"

24 / 24 papers shown

Title
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 164 1 0 28 Aug 2025
Gradient-Free Sequential Bayesian Experimental Design via Interacting Particle Systems Robert Gruhlke Matei Hanu Claudia Schillings Philipp Wacker BDL 264 0 0 17 Apr 2025
Performance Comparisons of Reinforcement Learning Algorithms for Sequential Experimental Design Yasir Zubayr Barlas Kizito Salako 185 1 0 07 Mar 2025
Amortized Active Causal Induction with Deep Reinforcement Learning Yashas Annadani P. Tigas Stefan Bauer Adam Foster 203 3 0 26 May 2024
Nesting Particle Filters for Experimental Design in Dynamical Systems Sahel Iqbal Adrien Corenflos Simo Särkkä Hany Abdulsamad 215 7 0 12 Feb 2024
Variational Sequential Optimal Experimental Design using Reinforcement LearningComputer Methods in Applied Mechanics and Engineering (CMAME), 2023 Wanggang Shen Jiayuan Dong Xun Huan 151 9 0 17 Jun 2023
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous MonitoringKnowledge Discovery and Data Mining (KDD), 2023 Runzhe Wan Yu Liu James McQueen Doug Hains Rui Song OffRL 114 7 0 02 Apr 2023
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 H. Naumer F. Kamalabadi 148 0 0 27 Mar 2023
Modern Bayesian Experimental DesignStatistical Science (Statist. Sci.), 2023 Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 281 146 0 28 Feb 2023
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filterComputational Mechanics (Comput. Mech.), 2022 Ruben Villarreal Nikolaos N. Vlassis Nhon N. Phan Tommie A. Catanach Reese E. Jones N. Trask S. Kramer WaiChing Sun OffRL 106 16 0 27 Sep 2022
Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias Sabina J. Sloman Daniel M. Oppenheimer S. Broomell C. Shalizi 193 9 0 27 May 2022
Policy-Based Bayesian Experimental Design for Non-Differentiable Implicit Models Vincent Lim Ellen R. Novoseller Jeffrey Ichnowski Huang Huang Ken Goldberg OffRL 184 13 0 08 Mar 2022
Sequential Bayesian experimental designs via reinforcement learning Hikaru Asano OffRL 136 0 0 14 Feb 2022
Optimizing Sequential Experimental Design with Deep Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022 Tom Blau Edwin V. Bonilla Iadine Chadès Amir Dezfouli BDL OffRL 380 57 0 02 Feb 2022
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement LearningComputer Methods in Applied Mechanics and Engineering (CMAME), 2021 Wanggang Shen Xun Huan 170 51 0 28 Oct 2021
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental DesignInternational Conference on Machine Learning (ICML), 2021 Adam Foster Desi R. Ivanova Ilyas Malik Tom Rainforth 180 103 0 03 Mar 2021
Sequential Bayesian optimal experimental design for structural reliability analysis C. Agrell Kristina Rognlien Dahl 115 23 0 01 Jul 2020
Bayesian Optimization with Output-Weighted Optimal Sampling A. Blanchard T. Sapsis 202 7 0 22 Apr 2020
Properties of using Fisher information gain for Bayesian design of experiments A. Overstall 45 1 0 16 Mar 2020
Learning Arbitrary Quantities of Interest from Expensive Black-Box Functions through Bayesian Sequential Optimal Design Piyush Pandita Nimish Awalgaonkar Ilias Bilionis Jitesh H. Panchal 173 2 0 16 Dec 2019
Receding Horizon CuriosityConference on Robot Learning (CoRL), 2019 M. Schultheis Boris Belousov Hany Abdulsamad Jan Peters 113 15 0 08 Oct 2019
Active Localization of Gas Leaks using Fluid Simulation Martin Asenov M. Rutkauskas D. Reid Kartic Subr S. Ramamoorthy 135 21 0 28 Jan 2019
Replication or exploration? Sequential design for stochastic simulation experiments M. Binois Jiangeng Huang R. Gramacy M. Ludkovski 208 122 0 09 Oct 2017
Optimal Experimental Design Using A Consistent Bayesian Approach Scott N. Walsh T. Wildey J. Jakeman 132 18 0 25 May 2017