Imagen de Portada

Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wehenkel, Antoine, Gamella, Juan L., Sener, Ozan, Behrmann, Jens, Sapiro, Guillermo, Jacobsen, Jörn-Henrik, Cuturi, Marco
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Simulation-based Inference for Cardiovascular Models
por: Wehenkel, Antoine, et al.
Publicado: (2023)

Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac Biomarkers
por: Manduchi, Laura, et al.
Publicado: (2024)

Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
por: Kelly, Ryan P., et al.
Publicado: (2023)

Inferring Optical Tissue Properties from Photoplethysmography using Hybrid Amortized Inference
por: Behrmann, Jens, et al.
Publicado: (2025)

Information Based Inference in Models with Set-Valued Predictions and Misspecification
por: Kaido, Hiroaki, et al.
Publicado: (2024)

Adapting to Misspecification
por: Armstrong, Timothy B., et al.
Publicado: (2023)

The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology
por: Gamella, Juan L., et al.
Publicado: (2024)

Sanity Checking Causal Representation Learning on a Simple Real-World System
por: Gamella, Juan L., et al.
Publicado: (2025)

Robust Bayesian Inference for Measurement Error Misspecification: The Berkson and Classical Cases
por: Dellaporta, Charita, et al.
Publicado: (2023)

Parametric MMD Estimation with Missing Values: Robustness to Missingness and Data Model Misspecification
por: Chérief-Abdellatif, Badr-Eddine, et al.
Publicado: (2025)

A Calibration Framework for Inference with Partially Observed Data
por: Pervin, Mst Moushumi, et al.
Publicado: (2026)

Semi-supervised Regression Analysis with Model Misspecification and High-dimensional Data
por: Tian, Ye, et al.
Publicado: (2024)

Wrong Model, Right Uncertainty: Spatial Associations for Discrete Data with Misspecification
por: Burt, David R., et al.
Publicado: (2025)

Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
por: Gamella, Juan L., et al.
Publicado: (2022)

Efficient GMM and Weighting Matrix under Misspecification
por: Kang, Byunghoon
Publicado: (2026)

Calibrating Bayesian Inference
por: Liu, Yang, et al.
Publicado: (2025)

Adaptive Off-Policy Inference for M-Estimators Under Model Misspecification
por: Leiner, James, et al.
Publicado: (2025)

Calibrated Generalized Bayesian Inference
por: Frazier, David T., et al.
Publicado: (2023)

The purpose of an estimator is what it does: Misspecification, estimands, and over-identification
por: Andrews, Isaiah, et al.
Publicado: (2025)

Mixing Samples to Address Weak Overlap in Causal Inference
por: Jang, Jaehyuk, et al.
Publicado: (2024)

Simulation-based, Finite-sample Inference for Privatized Data
por: Awan, Jordan, et al.
Publicado: (2023)

Misspecifications in structural equation modeling: The choice of latent variables, causal-formative constructs or composites
por: Bauer, Jonas, et al.
Publicado: (2025)

Addressing Positivity Violations in Extending Inference to a Target Population
por: Lu, Jun, et al.
Publicado: (2024)

Misspecification-robust likelihood-free inference in high dimensions
por: Thomas, Owen, et al.
Publicado: (2020)

Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent
por: Liu, Qingyang, et al.
Publicado: (2025)

Random Effects Misspecification and its Consequences for Prediction in Generalized Linear Mixed Models
por: Vu, Quan, et al.
Publicado: (2024)

Simulation-based Calibration of Uncertainty Intervals under Approximate Bayesian Estimation
por: Savitsky, Terrance D., et al.
Publicado: (2024)

Outcome-Calibrated Regression and Predicted Outcome-Based Inference
por: Lee, Hwiyoung, et al.
Publicado: (2026)

Assessment of Misspecification in CDMs Using a Generalized Information Matrix Test
por: Hosseinpourkhoshkbari, Reyhaneh, et al.
Publicado: (2024)

Sequential Testing for Assessing the Incremental Value of Biomarkers Under Biorepository Specimen Constraints with Robustness to Model Misspecification
por: Ganguly, Indrila, et al.
Publicado: (2025)

Application of Propensity Score Models and Causal Estimators in Observational Studies under Model Misspecification
por: Das, Apu Chandra, et al.
Publicado: (2026)

Posterior SBC: Simulation-Based Calibration Checking Conditional on Data
por: Säilynoja, Teemu, et al.
Publicado: (2025)

Addressing Duplicated Data in Spatial Point Patterns
por: Chen, Lingling, et al.
Publicado: (2024)

Empirically Calibrated Conditional Independence Tests
por: Pan, Milleno, et al.
Publicado: (2026)

Simulation Experiment Design for Calibration via Active Learning
por: Sürer, Özge
Publicado: (2024)

Robust Simulation Based Inference
por: Tomaselli, Lorenzo, et al.
Publicado: (2025)

Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation
por: Dirmeier, Simon, et al.
Publicado: (2023)

Finite Sample Valid Inference via Calibrated Bootstrap
por: Jiang, Yiran, et al.
Publicado: (2024)

Bayesian Model Calibration with Integrated Discrepancy: Addressing Inexact Dislocation Dynamics Models
por: Myhill, Liam, et al.
Publicado: (2026)

Towards Data-Conditional Simulation for ABC Inference in Stochastic Differential Equations
por: Jovanovski, Petar, et al.
Publicado: (2023)