expected information gain

B$^3$-Seg: Camera-Free, Training-Free 3DGS Segmentation via Analytic EIG and Beta-Bernoulli Bayesian Updates CVPR 2026 Bayesian Experimental Design via Score Matching UAI 2026 FaithFusion: Harmonizing Reconstruction and Generation via Pixel-wise Information Gain CVPR 2026 Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design UAI 2026 Bayesian Experimental Design Via Contrastive Diffusions ICLR 2025 Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition AISTATS 2025 Learning to Ask Informative Questions: Enhancing LLMs with Preference Optimization and Expected Information Gain EMNLP 2024 On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design AAAI 2024 Practical Bayesian Algorithm Execution via Posterior Sampling NeurIPS 2024 Design Amortization for Bayesian Optimal Experimental Design AAAI 2023 Robust expected information gain for optimal Bayesian experimental design using ambiguity sets UAI 2022 A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments AISTATS 2020 Variational Bayesian Monte Carlo with Noisy Likelihoods NeurIPS 2020 EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE ICML 2019 Variational Bayesian Optimal Experimental Design NeurIPS 2019 Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation NeurIPS 2018