Simulation-based Bayesian inference with ameliorative learned summary statistics -- Part I
Fuente:
arXiv
Saved in:
| Main Author: | Befekadu, Getachew K. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Embedding generalization within the learning dynamics: An approach based-on sample path large deviation theory
by: Befekadu, Getachew K.
Published: (2024)
by: Befekadu, Getachew K.
Published: (2024)
On characterizing optimal learning trajectories in a class of learning problems
by: Befekadu, Getachew K
Published: (2025)
by: Befekadu, Getachew K
Published: (2025)
A decision-theoretic model for a principal-agent collaborative learning problem
by: Befekadu, Getachew K
Published: (2024)
by: Befekadu, Getachew K
Published: (2024)
A brief note on learning problem with global perspectives
by: Befekadu, Getachew K.
Published: (2026)
by: Befekadu, Getachew K.
Published: (2026)
A naive aggregation algorithm for improving generalization in a class of learning problems
by: Befekadu, Getachew K
Published: (2024)
by: Befekadu, Getachew K
Published: (2024)
A successive approximation method in functional spaces for hierarchical optimal control problems and its application to learning
by: Befekadu, Getachew K.
Published: (2024)
by: Befekadu, Getachew K.
Published: (2024)
On improving generalization in a class of learning problems with the method of small parameters for weakly-controlled optimal gradient systems
by: Befekadu, Getachew K.
Published: (2024)
by: Befekadu, Getachew K.
Published: (2024)
A new perspective on the learning dynamics for a class of learning problems via averaged gradient systems coupled with diffusion-transmutation processes
by: Befekadu, Getachew K.
Published: (2024)
by: Befekadu, Getachew K.
Published: (2024)
Further extensions on the successive approximation method for hierarchical optimal control problems and its application to learning
by: Befekadu, Getachew K.
Published: (2024)
by: Befekadu, Getachew K.
Published: (2024)
Simulation-based Bayesian inference under model misspecification
by: Kelly, Ryan P., et al.
Published: (2025)
by: Kelly, Ryan P., et al.
Published: (2025)
ForwardFlow: Simulation only statistical inference using deep learning
by: Böhringer, Stefan
Published: (2026)
by: Böhringer, Stefan
Published: (2026)
Another look at statistical inference with machine learning-imputed data
by: Gronsbell, Jessica, et al.
Published: (2024)
by: Gronsbell, Jessica, et al.
Published: (2024)
Explainability as statistical inference
by: Senetaire, Hugo Henri Joseph, et al.
Published: (2022)
by: Senetaire, Hugo Henri Joseph, et al.
Published: (2022)
Simulation-based inference of yeast centromeres
by: Touron, Eloïse, et al.
Published: (2025)
by: Touron, Eloïse, et al.
Published: (2025)
Unrolled denoising networks provably learn optimal Bayesian inference
by: Karan, Aayush, et al.
Published: (2024)
by: Karan, Aayush, et al.
Published: (2024)
Hybrid summary statistics: neural weak lensing inference beyond the power spectrum
by: Makinen, T. Lucas, et al.
Published: (2024)
by: Makinen, T. Lucas, et al.
Published: (2024)
Reparameterization invariance in approximate Bayesian inference
by: Roy, Hrittik, et al.
Published: (2024)
by: Roy, Hrittik, et al.
Published: (2024)
Resampling methods for private statistical inference
by: Chadha, Karan, et al.
Published: (2024)
by: Chadha, Karan, et al.
Published: (2024)
FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators
by: Moss, Guy, et al.
Published: (2025)
by: Moss, Guy, et al.
Published: (2025)
Black-box Bayesian inference for economic agent-based models
by: Dyer, Joel, et al.
Published: (2022)
by: Dyer, Joel, et al.
Published: (2022)
On statistical learning of graphs
by: Cipriani, Vittorio, et al.
Published: (2025)
by: Cipriani, Vittorio, et al.
Published: (2025)
Simulation-based inference via telescoping ratio estimation for trawl processes
by: Leonte, Dan, et al.
Published: (2025)
by: Leonte, Dan, et al.
Published: (2025)
Transfer learning for multifidelity simulation-based inference in cosmology
by: Saoulis, Alex A., et al.
Published: (2025)
by: Saoulis, Alex A., et al.
Published: (2025)
An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
by: Xiong, Yifei, et al.
Published: (2023)
by: Xiong, Yifei, et al.
Published: (2023)
Dimension-agnostic inference using cross U-statistics
by: Kim, Ilmun, et al.
Published: (2020)
by: Kim, Ilmun, et al.
Published: (2020)
Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature
by: Li, Chengkun, et al.
Published: (2023)
by: Li, Chengkun, et al.
Published: (2023)
Efficient nonparametric statistical inference on population feature importance using Shapley values
by: Williamson, Brian D., et al.
Published: (2020)
by: Williamson, Brian D., et al.
Published: (2020)
Stein transport for Bayesian inference
by: Nüsken, Nikolas
Published: (2024)
by: Nüsken, Nikolas
Published: (2024)
Universal priors: solving empirical Bayes via Bayesian inference and pretraining
by: Cannella, Nick, et al.
Published: (2026)
by: Cannella, Nick, et al.
Published: (2026)
mlr3summary: Concise and interpretable summaries for machine learning models
by: Dandl, Susanne, et al.
Published: (2024)
by: Dandl, Susanne, et al.
Published: (2024)
Variational Bayesian inference for CP tensor completion with side information
by: Budzinskiy, Stanislav, et al.
Published: (2022)
by: Budzinskiy, Stanislav, et al.
Published: (2022)
BlackJAX: Composable Bayesian inference in JAX
by: Cabezas, Alberto, et al.
Published: (2024)
by: Cabezas, Alberto, et al.
Published: (2024)
Approximate Bayesian inference for cumulative probit regression models
by: Aliverti, Emanuele
Published: (2025)
by: Aliverti, Emanuele
Published: (2025)
Simulation-based Bayesian Inference from Privacy Protected Data
by: Xiong, Yifei, et al.
Published: (2023)
by: Xiong, Yifei, et al.
Published: (2023)
Simulation Based Bayesian Optimization
by: Naveiro, Roi, et al.
Published: (2024)
by: Naveiro, Roi, et al.
Published: (2024)
Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology
by: Häggström, Henrik, et al.
Published: (2025)
by: Häggström, Henrik, et al.
Published: (2025)
Fine-gained air quality inference based on low-quality sensing data using self-supervised learning
by: Xu, Meng, et al.
Published: (2024)
by: Xu, Meng, et al.
Published: (2024)
To discretize continually: Mean shift interacting particle systems for Bayesian inference
by: Belhadji, Ayoub, et al.
Published: (2026)
by: Belhadji, Ayoub, et al.
Published: (2026)
Dual-space posterior sampling for Bayesian inference in constrained inverse problems
by: Siahkoohi, Ali, et al.
Published: (2026)
by: Siahkoohi, Ali, et al.
Published: (2026)
Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model
by: Khoufache, Reda, et al.
Published: (2024)
by: Khoufache, Reda, et al.
Published: (2024)
Similar Items
-
Embedding generalization within the learning dynamics: An approach based-on sample path large deviation theory
by: Befekadu, Getachew K.
Published: (2024) -
On characterizing optimal learning trajectories in a class of learning problems
by: Befekadu, Getachew K
Published: (2025) -
A decision-theoretic model for a principal-agent collaborative learning problem
by: Befekadu, Getachew K
Published: (2024) -
A brief note on learning problem with global perspectives
by: Befekadu, Getachew K.
Published: (2026) -
A naive aggregation algorithm for improving generalization in a class of learning problems
by: Befekadu, Getachew K
Published: (2024)