conftrace_

bayesian experimental design

16 papers

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Also known as

BED

Co-occurring keywords

mutual information (724) variational inference (2069) implicit model (35) expected information gain (10) gaussian process (1200) magnetic resonance imaging (182) sequence optimization (11) approximate bayesian inference (17) posterior samples (3) active information acquisition (4)

Papers

On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design AAAI 2024
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design ICML 2023
Modeling the Machine Learning Multiverse NIPS 2022
Robust expected information gain for optimal Bayesian experimental design using ambiguity sets UAI 2022
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design ICML 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation UAI 2020
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation ICML 2020
Bayesian experimental design using regularized determinantal point processes AISTATS 2020
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE ICML 2019
Receding Horizon Curiosity CORL 2019
ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery AISTATS 2019
Efficient Bayesian Experimental Design for Implicit Models AISTATS 2019
On Nesting Monte Carlo Estimators ICML 2018
Sequential Information Maximization: When is Greedy Near-optimal? COLT 2015
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences NIPS 2008