:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhou, Daniel, Banerjee, Sudipto
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Methodology
Acceso en línea:	https://arxiv.org/abs/2602.20611
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models
por: Banerjee, Sudipto, et al.
Publicado: (2022)

Bayesian Data Sketching for Varying Coefficient Regression Models
por: Guhaniyogi, Rajarshi, et al.
Publicado: (2025)

Sensitivity-Aware Amortized Bayesian Inference
por: Elsemüller, Lasse, et al.
Publicado: (2023)

Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference
por: Arruda, Jonas, et al.
Publicado: (2026)

Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design
por: Iqbal, Sahel, et al.
Publicado: (2024)

Finite Population Survey Sampling: An Unapologetic Bayesian Perspective
por: Banerjee, Sudipto
Publicado: (2023)

Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models
por: Wu, Yufei, et al.
Publicado: (2024)

Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models
por: Scheurer, Stefania, et al.
Publicado: (2025)

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation
por: Elsemüller, Lasse, et al.
Publicado: (2025)

Amortized Bayesian Local Interpolation NetworK: Fast covariance parameter estimation for Gaussian Processes
por: Feng, Brandon R., et al.
Publicado: (2024)

Amortized Causal Discovery with Prior-Fitted Networks
por: Sypniewski, Mateusz, et al.
Publicado: (2025)

Monte Carlo inference for semiparametric Bayesian regression
por: Kowal, Daniel R., et al.
Publicado: (2023)

nimblewomble: An R package for Bayesian Wombling with nimble
por: Halder, Aritra, et al.
Publicado: (2025)

Adaptive Markovian Spatiotemporal Transfer Learning in Multivariate Bayesian Modeling
por: Presicce, Luca, et al.
Publicado: (2026)

Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature
por: Li, Chengkun, et al.
Publicado: (2023)

Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking
por: Pan, Soumyakanti, et al.
Publicado: (2025)

Bayesian Spatiotemporal Wombling
por: Halder, Aritra, et al.
Publicado: (2024)

Bayesian Transfer Learning for Artificially Intelligent Geospatial Systems: A Predictive Stacking Approach
por: Presicce, Luca, et al.
Publicado: (2024)

Assessing Spatial Disparities: A Bayesian Linear Regression Approach
por: Wu, Kyle Lin, et al.
Publicado: (2024)

Approximate Bayesian inference for cumulative probit regression models
por: Aliverti, Emanuele
Publicado: (2025)

Simulation-based Bayesian inference under model misspecification
por: Kelly, Ryan P., et al.
Publicado: (2025)

Process-based Inference for Spatial Energetics Using Bayesian Predictive Stacking
por: Wakayama, Tomoya, et al.
Publicado: (2024)

Collaborative causal inference on distributed data
por: Kawamata, Yuji, et al.
Publicado: (2022)

Stein transport for Bayesian inference
por: Nüsken, Nikolas
Publicado: (2024)

Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference
por: Hassan, Conor, et al.
Publicado: (2024)

Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks
por: Huch, Easton, et al.
Publicado: (2026)

Amortized Vine Copulas for High-Dimensional Density and Information Estimation
por: Safaai, Houman
Publicado: (2026)

Bayesian Geostatistics Using Predictive Stacking
por: Zhang, Lu, et al.
Publicado: (2023)

Diffusion posterior sampling for simulation-based inference in tall data settings
por: Linhart, Julia, et al.
Publicado: (2024)

An AI-powered Bayesian generative modeling approach for causal inference in observational studies
por: Liu, Qiao, et al.
Publicado: (2025)

Statistical inference for case-control logistic regression via integrating external summary data
por: Shi, Hengchao, et al.
Publicado: (2024)

Clustered random forests with correlated data for optimal estimation and inference under potential covariate shift
por: Young, Elliot H., et al.
Publicado: (2025)

Transductive conformal inference with adaptive scores
por: Gazin, Ulysse, et al.
Publicado: (2023)

Semi-parametric inference based on adaptively collected data
por: Lin, Licong, et al.
Publicado: (2023)

Inference at the data's edge: Gaussian processes for modeling and inference under model-dependency, poor overlap, and extrapolation
por: Cho, Soonhong, et al.
Publicado: (2024)

Bayesian Hierarchical Modeling and Inference for Mechanistic Systems in Industrial Hygiene
por: Pan, Soumyakanti, et al.
Publicado: (2023)

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing
por: Das, Pramit, et al.
Publicado: (2025)

Bayesian Ensembling: Insights from Online Optimization and Empirical Bayes
por: Waxman, Daniel, et al.
Publicado: (2025)

A partial likelihood approach to tree-based density modeling and its application in Bayesian inference
por: Ma, Li, et al.
Publicado: (2024)

Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR)
por: Dey, Biprateep, et al.
Publicado: (2022)