Near-Optimal Approximations for Bayesian Inference in Function Space
Fuente:
arXiv
Saved in:
| Main Authors: | Wild, Veit, Wu, James, Sejdinovic, Dino, Knoblauch, Jeremias |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Overview of Causal Inference using Kernel Embeddings
by: Sejdinovic, Dino
Published: (2024)
by: Sejdinovic, Dino
Published: (2024)
The Generalised Kernel Covariance Measure
by: Bergen, Luca, et al.
Published: (2026)
by: Bergen, Luca, et al.
Published: (2026)
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment
by: Hu, Robert, et al.
Published: (2021)
by: Hu, Robert, et al.
Published: (2021)
Predictively Oriented Posteriors
by: McLatchie, Yann, et al.
Published: (2025)
by: McLatchie, Yann, et al.
Published: (2025)
Proximal Approximate Inference in State-Space Models
by: Abdulsamad, Hany, et al.
Published: (2025)
by: Abdulsamad, Hany, et al.
Published: (2025)
Robust and Conjugate Spatio-Temporal Gaussian Processes
by: Laplante, William, et al.
Published: (2025)
by: Laplante, William, et al.
Published: (2025)
Approximate Gibbs Sampler for Efficient Inference of Hierarchical Bayesian Models for Grouped Count Data
by: Yu, Jin-Zhu, et al.
Published: (2022)
by: Yu, Jin-Zhu, et al.
Published: (2022)
TabMGP: Martingale Posterior with TabPFN
by: Ng, Kenyon, et al.
Published: (2025)
by: Ng, Kenyon, et al.
Published: (2025)
Bayesian Adaptive Calibration and Optimal Design
by: Oliveira, Rafael, et al.
Published: (2024)
by: Oliveira, Rafael, et al.
Published: (2024)
Conjugate Generalised Bayesian Inference for Discrete Doubly Intractable Problems
by: Laplante, William, et al.
Published: (2025)
by: Laplante, William, et al.
Published: (2025)
Nearly Optimal Subdata Selection
by: Yang, Min, et al.
Published: (2026)
by: Yang, Min, et al.
Published: (2026)
Bayesian Empirical Bayes: Simultaneous Inference from Probabilistic Symmetries
by: Wu, Bohan, et al.
Published: (2025)
by: Wu, Bohan, et al.
Published: (2025)
Sensitivity-Aware Amortized Bayesian Inference
by: Elsemüller, Lasse, et al.
Published: (2023)
by: Elsemüller, Lasse, et al.
Published: (2023)
Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models
by: Wu, Yufei, et al.
Published: (2024)
by: Wu, Yufei, et al.
Published: (2024)
Federated Variational Inference for Bayesian Mixture Models
by: Rao, Jackie, et al.
Published: (2025)
by: Rao, Jackie, et al.
Published: (2025)
Bayesian Causal Inference with Gaussian Process Networks
by: Giudice, Enrico, et al.
Published: (2024)
by: Giudice, Enrico, et al.
Published: (2024)
Nearly Optimal Best Arm Identification for Semiparametric Bandits
by: Kim, Seok-Jin
Published: (2026)
by: Kim, Seok-Jin
Published: (2026)
Generative Bayesian Inference with GANs
by: Wang, Yuexi, et al.
Published: (2022)
by: Wang, Yuexi, et al.
Published: (2022)
Asymptotic Time-Uniform Inference for Parameters in Averaged Stochastic Approximation
by: Xie, Chuhan, et al.
Published: (2024)
by: Xie, Chuhan, et al.
Published: (2024)
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression
by: Wakayama, Tomoya
Published: (2024)
by: Wakayama, Tomoya
Published: (2024)
Bayesian Federated Inference for Survival Models
by: Pazira, Hassan, et al.
Published: (2024)
by: Pazira, Hassan, et al.
Published: (2024)
Variational Inference for Bayesian MIDAS Regression
by: Simeone, Luigi
Published: (2026)
by: Simeone, Luigi
Published: (2026)
Bayesian Event-Based Model for Disease Subtype and Stage Inference
by: Hao, Hongtao, et al.
Published: (2025)
by: Hao, Hongtao, et al.
Published: (2025)
Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference
by: Arruda, Jonas, et al.
Published: (2026)
by: Arruda, Jonas, et al.
Published: (2026)
All Models Are Miscalibrated, But Some Less So: Comparing Calibration with Conditional Mean Operators
by: Moskvichev, Peter, et al.
Published: (2025)
by: Moskvichev, Peter, et al.
Published: (2025)
ActiveCQ: Active Estimation of Causal Quantities
by: Gao, Erdun, et al.
Published: (2025)
by: Gao, Erdun, et al.
Published: (2025)
Approximate Bayesian inference for cumulative probit regression models
by: Aliverti, Emanuele
Published: (2025)
by: Aliverti, Emanuele
Published: (2025)
Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors
by: Dhawan, Nikita, et al.
Published: (2026)
by: Dhawan, Nikita, et al.
Published: (2026)
Robust Bayesian Inference for Measurement Error Misspecification: The Berkson and Classical Cases
by: Dellaporta, Charita, et al.
Published: (2023)
by: Dellaporta, Charita, et al.
Published: (2023)
AI-Powered Bayesian Inference
by: O'Hagan, Sean, et al.
Published: (2025)
by: O'Hagan, Sean, et al.
Published: (2025)
Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models
by: Scheurer, Stefania, et al.
Published: (2025)
by: Scheurer, Stefania, et al.
Published: (2025)
Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity
by: He, Junhui, et al.
Published: (2024)
by: He, Junhui, et al.
Published: (2024)
Vector Copula Variational Inference and Dependent Block Posterior Approximations
by: Fu, Yu, et al.
Published: (2025)
by: Fu, Yu, et al.
Published: (2025)
Double Robust Bayesian Inference on Average Treatment Effects
by: Breunig, Christoph, et al.
Published: (2022)
by: Breunig, Christoph, et al.
Published: (2022)
Functional BART with Shape Priors: A Bayesian Tree Approach to Constrained Functional Regression
by: Cao, Jiahao, et al.
Published: (2025)
by: Cao, Jiahao, et al.
Published: (2025)
Robust Bayesian Optimisation with Unbounded Corruptions
by: Ezzerg, Abdelhamid, et al.
Published: (2025)
by: Ezzerg, Abdelhamid, et al.
Published: (2025)
Causal Inference for Preprocessed Outcomes with an Application to Functional Connectivity
by: Wang, Zihang, et al.
Published: (2026)
by: Wang, Zihang, et al.
Published: (2026)
FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation
by: Bouabid, Shahine, et al.
Published: (2023)
by: Bouabid, Shahine, et al.
Published: (2023)
Concentration and Calibration in Predictive Bayesian Inference
by: Frazier, David T., et al.
Published: (2026)
by: Frazier, David T., et al.
Published: (2026)
MOSAIC: Minimax-Optimal Sparsity-Adaptive Inference for Change Points in Dynamic Networks
by: Fan, Yingying, et al.
Published: (2025)
by: Fan, Yingying, et al.
Published: (2025)
Similar Items
-
An Overview of Causal Inference using Kernel Embeddings
by: Sejdinovic, Dino
Published: (2024) -
The Generalised Kernel Covariance Measure
by: Bergen, Luca, et al.
Published: (2026) -
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment
by: Hu, Robert, et al.
Published: (2021) -
Predictively Oriented Posteriors
by: McLatchie, Yann, et al.
Published: (2025) -
Proximal Approximate Inference in State-Space Models
by: Abdulsamad, Hany, et al.
Published: (2025)