bayesian experimental design

Bayesian Experimental Design via Score Matching UAI 2026 Active Task Disambiguation with LLMs ICLR 2025 Bayesian Experimental Design Via Contrastive Diffusions ICLR 2025 Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design ICML 2025 On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design AAAI 2024 PASOA- PArticle baSed Bayesian Optimal Adaptive design ICML 2024 CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design ICML 2023 Conditional Image Generation by Conditioning Variational Auto-Encoders ICLR 2022 Modeling the Machine Learning Multiverse NeurIPS 2022 Robust expected information gain for optimal Bayesian experimental design using ambiguity sets UAI 2022 A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021 Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design ICML 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 ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery AISTATS 2019 EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE ICML 2019 Efficient Bayesian Experimental Design for Implicit Models AISTATS 2019 Receding Horizon Curiosity CoRL 2019 On Nesting Monte Carlo Estimators ICML 2018 Sequential Information Maximization: When is Greedy Near-optimal? COLT 2015 Near-Optimal Bayesian Active Learning with Noisy Observations NeurIPS 2010 Bayesian Experimental Design of Magnetic Resonance Imaging Sequences NeurIPS 2008