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bayesian optimal experimental design

7 papers

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Also known as

BOED

Co-occurring keywords · papers mentioning both

expected information gain (3) mutual information (2) variational inference (2) adaptive contrastive estimation (1) active causal discovery (1) design amortization (1) posterior calibration (1) knapsack optimization (1) large language model (1) confidence estimation (1)

Papers

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design UAI 2026 Confidence-Aware Reasoning: Optimizing Self-Guided Thinking Trajectories in Large Reasoning Models EMNLP 2025 Design Amortization for Bayesian Optimal Experimental Design AAAI 2023 An Experimental Design Perspective on Model-Based Reinforcement Learning ICLR 2022 Interventions, Where and How? Experimental Design for Causal Models at Scale NeurIPS 2022 A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments AISTATS 2020 Sequential Bayesian Experimental Design with Variable Cost Structure NeurIPS 2020