Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design
Fuente:
arXiv
Guardado en:
| Autores principales: | Zaballa, Vincent D., Hui, Elliot E. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Reducing Uncertainty Through Mutual Information in Structural and Systems Biology
por: Zaballa, Vincent D., et al.
Publicado: (2024)
por: Zaballa, Vincent D., et al.
Publicado: (2024)
Supercharging Simulation-Based Inference for Bayesian Optimal Experimental Design
por: Klein, Samuel, et al.
Publicado: (2026)
por: Klein, Samuel, et al.
Publicado: (2026)
Systems-Structure-Based Drug Design
por: Zaballa, Vincent D., et al.
Publicado: (2024)
por: Zaballa, Vincent D., et al.
Publicado: (2024)
Bridging Maximum Likelihood and Optimal Transport for Efficient Inference and Model Selection in Stochastic Block Models
por: Queric, Simon, et al.
Publicado: (2026)
por: Queric, Simon, et al.
Publicado: (2026)
Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based Inference
por: Dalmasso, Niccolò, et al.
Publicado: (2021)
por: Dalmasso, Niccolò, et al.
Publicado: (2021)
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental Design
por: Chakraborty, Atlanta, et al.
Publicado: (2024)
por: Chakraborty, Atlanta, et al.
Publicado: (2024)
Robust Experimental Design via Generalised Bayesian Inference
por: Barlas, Yasir Zubayr, et al.
Publicado: (2025)
por: Barlas, Yasir Zubayr, et al.
Publicado: (2025)
Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood
por: Ouyang, Jiangrong, et al.
Publicado: (2026)
por: Ouyang, Jiangrong, et al.
Publicado: (2026)
InfoBridge: Mutual Information estimation via Bridge Matching
por: Kholkin, Sergei, et al.
Publicado: (2025)
por: Kholkin, Sergei, et al.
Publicado: (2025)
Accelerated Bayesian Optimal Experimental Design via Conditional Density Estimation and Informative Data
por: Huang, Miao, et al.
Publicado: (2025)
por: Huang, Miao, et al.
Publicado: (2025)
Discrete Bridges for Mutual Information Estimation
por: Zabarianska, Iryna, et al.
Publicado: (2026)
por: Zabarianska, Iryna, et al.
Publicado: (2026)
Analysis and Optimization of Seismic Monitoring Networks with Bayesian Optimal Experiment Design
por: Callahan, Jake, et al.
Publicado: (2024)
por: Callahan, Jake, et al.
Publicado: (2024)
Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching
por: Lu, Wenhui Sophia, et al.
Publicado: (2025)
por: Lu, Wenhui Sophia, et al.
Publicado: (2025)
Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations
por: Li, Chengkun, et al.
Publicado: (2025)
por: Li, Chengkun, et al.
Publicado: (2025)
Truncated Neural Likelihood Estimation for Simulation-Based Inference in State-Space Models
por: Tsampourakis, Kostas, et al.
Publicado: (2026)
por: Tsampourakis, Kostas, et al.
Publicado: (2026)
Simulation Based Bayesian Optimization
por: Naveiro, Roi, et al.
Publicado: (2024)
por: Naveiro, Roi, et al.
Publicado: (2024)
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
por: Pan, Jiarong, et al.
Publicado: (2023)
por: Pan, Jiarong, et al.
Publicado: (2023)
Simulation-Based Inference for Adaptive Experiments
por: Cho, Brian M, et al.
Publicado: (2025)
por: Cho, Brian M, et al.
Publicado: (2025)
End-to-End Optimal Detector Design with Mutual Information Surrogates
por: Wozniak, Kinga Anna, et al.
Publicado: (2025)
por: Wozniak, Kinga Anna, et al.
Publicado: (2025)
Bayesian Experimental Design via Contrastive Diffusions
por: Iollo, Jacopo, et al.
Publicado: (2024)
por: Iollo, Jacopo, et al.
Publicado: (2024)
Adaptive Combinatorial Experimental Design: Pareto Optimality for Decision-Making and Inference
por: Xie, Hongrui, et al.
Publicado: (2026)
por: Xie, Hongrui, et al.
Publicado: (2026)
Low-Budget Simulation-Based Inference with Bayesian Neural Networks
por: Delaunoy, Arnaud, et al.
Publicado: (2024)
por: Delaunoy, Arnaud, et al.
Publicado: (2024)
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
por: Kelly, Ryan P., et al.
Publicado: (2023)
por: Kelly, Ryan P., et al.
Publicado: (2023)
VBO-MI: A Fully Gradient-Based Bayesian Optimization Framework Using Variational Mutual Information Estimation
por: Mirkarimi, Farhad
Publicado: (2026)
por: Mirkarimi, Farhad
Publicado: (2026)
Wasserstein Gradient Flows for Batch Bayesian Optimal Experimental Design
por: Sharrock, Louis
Publicado: (2026)
por: Sharrock, Louis
Publicado: (2026)
Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems
por: Hamidi, Shayan Mohajer, et al.
Publicado: (2025)
por: Hamidi, Shayan Mohajer, et al.
Publicado: (2025)
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood
por: Dhahri, Rayen, et al.
Publicado: (2024)
por: Dhahri, Rayen, et al.
Publicado: (2024)
Bridging the Sim-to-Real Gap with Bayesian Inference
por: Rothfuss, Jonas, et al.
Publicado: (2024)
por: Rothfuss, Jonas, et al.
Publicado: (2024)
Benchmark of Likelihood-Free Inference Methods based on Neural and Optimal Transport Approaches
por: Aka, Samira, et al.
Publicado: (2026)
por: Aka, Samira, et al.
Publicado: (2026)
Sequential Bayesian Optimal Experimental Design in Infinite Dimensions via Policy Gradient Reinforcement Learning
por: Shen, Kaichen, et al.
Publicado: (2026)
por: Shen, Kaichen, et al.
Publicado: (2026)
Mutual Information Optimal Density Control of Linear Systems and Generalized Schrödinger Bridges with Reference Refinement
por: Enami, Shoju, et al.
Publicado: (2026)
por: Enami, Shoju, et al.
Publicado: (2026)
Inductive Domain Transfer In Misspecified Simulation-Based Inference
por: Senouf, Ortal, et al.
Publicado: (2025)
por: Senouf, Ortal, et al.
Publicado: (2025)
Nearly Optimal Bayesian Inference for Structural Missingness
por: Liang, Chen, et al.
Publicado: (2026)
por: Liang, Chen, et al.
Publicado: (2026)
Neural Optimal Design of Experiment for Inverse Problems
por: Darges, John E., et al.
Publicado: (2025)
por: Darges, John E., et al.
Publicado: (2025)
Goal-driven Bayesian Optimal Experimental Design for Robust Decision-Making Under Model Uncertainty
por: Go, Jinwoo, et al.
Publicado: (2026)
por: Go, Jinwoo, et al.
Publicado: (2026)
LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport
por: Liu, Yanbin, et al.
Publicado: (2019)
por: Liu, Yanbin, et al.
Publicado: (2019)
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
por: Wei, Yunyue, et al.
Publicado: (2024)
por: Wei, Yunyue, et al.
Publicado: (2024)
Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design
por: Hedman, Marcel, et al.
Publicado: (2025)
por: Hedman, Marcel, et al.
Publicado: (2025)
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
por: Cai, Xu, et al.
Publicado: (2024)
por: Cai, Xu, et al.
Publicado: (2024)
Bayesian Adaptive Calibration and Optimal Design
por: Oliveira, Rafael, et al.
Publicado: (2024)
por: Oliveira, Rafael, et al.
Publicado: (2024)
Ejemplares similares
-
Reducing Uncertainty Through Mutual Information in Structural and Systems Biology
por: Zaballa, Vincent D., et al.
Publicado: (2024) -
Supercharging Simulation-Based Inference for Bayesian Optimal Experimental Design
por: Klein, Samuel, et al.
Publicado: (2026) -
Systems-Structure-Based Drug Design
por: Zaballa, Vincent D., et al.
Publicado: (2024) -
Bridging Maximum Likelihood and Optimal Transport for Efficient Inference and Model Selection in Stochastic Block Models
por: Queric, Simon, et al.
Publicado: (2026) -
Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based Inference
por: Dalmasso, Niccolò, et al.
Publicado: (2021)