Rates of Convergence of Generalised Variational Inference Posteriors under Prior Misspecification
Fuente:
arXiv
Saved in:
| Main Authors: | Mildner, Terje, Giampouras, Paris, Damoulas, Theodoros |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework
by: Mildner, Terje, et al.
Published: (2025)
by: Mildner, Terje, et al.
Published: (2025)
Distributionally Robust Causal Abstractions
by: Felekis, Yorgos, et al.
Published: (2025)
by: Felekis, Yorgos, et al.
Published: (2025)
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)
Robust Bayesian Inference via Variational Approximations of Generalized Rho-Posteriors
by: Khribch, EL Mahdi, et al.
Published: (2026)
by: Khribch, EL Mahdi, et al.
Published: (2026)
Adaptive Off-Policy Inference for M-Estimators Under Model Misspecification
by: Leiner, James, et al.
Published: (2025)
by: Leiner, James, et al.
Published: (2025)
An Equivalence between Bayesian Priors and Penalties in Variational Inference
by: Wolinski, Pierre, et al.
Published: (2020)
by: Wolinski, Pierre, et al.
Published: (2020)
Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets
by: Dellaporta, Charita, et al.
Published: (2025)
by: Dellaporta, Charita, et al.
Published: (2025)
Gaussian Process Regression under Computational and Epistemic Misspecification
by: Sanz-Alonso, Daniel, et al.
Published: (2023)
by: Sanz-Alonso, Daniel, et al.
Published: (2023)
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
by: Banerjee, Sayan, et al.
Published: (2024)
by: Banerjee, Sayan, et al.
Published: (2024)
Dynamic Decision-Making under Model Misspecification: A Stochastic Stability Approach
by: Dai, Xinyu, et al.
Published: (2026)
by: Dai, Xinyu, et al.
Published: (2026)
Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity
by: Lavenant, Hugo, et al.
Published: (2024)
by: Lavenant, Hugo, et al.
Published: (2024)
Posterior Contraction Rates for Sparse Kolmogorov-Arnold Networks in Anisotropic Besov Spaces
by: Oh, Jeunghun, et al.
Published: (2026)
by: Oh, Jeunghun, et al.
Published: (2026)
Generalized Power Priors for Improved Bayesian Inference with Historical Data
by: Kimura, Masanari, et al.
Published: (2025)
by: Kimura, Masanari, et al.
Published: (2025)
Super-fast Rates of Convergence for Neural Network Classifiers under the Hard Margin Condition
by: Tepakbong, Nathanael, et al.
Published: (2025)
by: Tepakbong, Nathanael, et al.
Published: (2025)
Functional Bias and Tangent-Space Geometry in Variational Inference
by: Plummer, Sean
Published: (2026)
by: Plummer, Sean
Published: (2026)
Finite-Particle Rates for Regularized Stein Variational Gradient Descent
by: He, Ye, et al.
Published: (2026)
by: He, Ye, et al.
Published: (2026)
Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
by: Genans, Ferdinand, et al.
Published: (2025)
by: Genans, Ferdinand, et al.
Published: (2025)
Statistical Inference under Performativity
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Decomposition of Spillover Effects Under Misspecification: Pseudo-true Estimands and a Local-Global Extension
by: Park, Yechan, et al.
Published: (2026)
by: Park, Yechan, et al.
Published: (2026)
Generalising realisability in statistical learning theory under epistemic uncertainty
by: Cuzzolin, Fabio
Published: (2024)
by: Cuzzolin, Fabio
Published: (2024)
AutoBayes: A Compositional Framework for Generalized Variational Inference
by: Smithe, Toby St Clere, et al.
Published: (2025)
by: Smithe, Toby St Clere, et al.
Published: (2025)
Empirical Bayes for Dynamic Bayesian Networks Using Generalized Variational Inference
by: Kungurtsev, Vyacheslav, et al.
Published: (2024)
by: Kungurtsev, Vyacheslav, et al.
Published: (2024)
Convergence Rates for Learning Pseudo-Differential Operators
by: Chen, Jiaheng, et al.
Published: (2026)
by: Chen, Jiaheng, et al.
Published: (2026)
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
by: Holzmüller, David, et al.
Published: (2023)
by: Holzmüller, David, et al.
Published: (2023)
Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation
by: Wu, Bohan, et al.
Published: (2024)
by: Wu, Bohan, et al.
Published: (2024)
Stability of Sequential and Parallel Coordinate Ascent Variational Inference
by: Pati, Debdeep
Published: (2026)
by: Pati, Debdeep
Published: (2026)
Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis
by: Farghly, Tyler, et al.
Published: (2025)
by: Farghly, Tyler, et al.
Published: (2025)
KL Convergence Guarantees for Score diffusion models under minimal data assumptions
by: Conforti, Giovanni, et al.
Published: (2023)
by: Conforti, Giovanni, et al.
Published: (2023)
Variational Causal Inference
by: Wu, Yulun, et al.
Published: (2022)
by: Wu, Yulun, et al.
Published: (2022)
Total Variation Rates for Riemannian Flow Matching
by: Guan, Yunrui, et al.
Published: (2026)
by: Guan, Yunrui, et al.
Published: (2026)
Structured Optimal Variational Inference for Dynamic Latent Space Models
by: Zhao, Peng, et al.
Published: (2022)
by: Zhao, Peng, et al.
Published: (2022)
Central Limit Theorem for Bayesian Neural Network trained with Variational Inference
by: Descours, Arnaud, et al.
Published: (2024)
by: Descours, Arnaud, et al.
Published: (2024)
Counterfactual Generative Modeling with Variational Causal Inference
by: Wu, Yulun, et al.
Published: (2024)
by: Wu, Yulun, et al.
Published: (2024)
Benign Overfitting under Learning Rate Conditions for $α$ Sub-exponential Input
by: Okudo, Kota, et al.
Published: (2024)
by: Okudo, Kota, et al.
Published: (2024)
Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization
by: Yang, Zhuoran, et al.
Published: (2020)
by: Yang, Zhuoran, et al.
Published: (2020)
On Reconstructing Training Data From Bayesian Posteriors and Trained Models
by: Wynne, George
Published: (2025)
by: Wynne, George
Published: (2025)
Conformal Prediction Under Generalized Covariate Shift with Posterior Drift
by: Wang, Baozhen, et al.
Published: (2025)
by: Wang, Baozhen, et al.
Published: (2025)
SPDE Methods for Nonparametric Bayesian Posterior Contraction and Laplace Approximation
by: Alberola-Boloix, Enric, et al.
Published: (2026)
by: Alberola-Boloix, Enric, et al.
Published: (2026)
Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models
by: Balasubramanian, Krishnakumar
Published: (2026)
by: Balasubramanian, Krishnakumar
Published: (2026)
Variational Representations of Annealing Paths: Bregman Information under Monotonic Embedding
by: Brekelmans, Rob, et al.
Published: (2022)
by: Brekelmans, Rob, et al.
Published: (2022)
Similar Items
-
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework
by: Mildner, Terje, et al.
Published: (2025) -
Distributionally Robust Causal Abstractions
by: Felekis, Yorgos, et al.
Published: (2025) -
Robust Bayesian Inference for Measurement Error Misspecification: The Berkson and Classical Cases
by: Dellaporta, Charita, et al.
Published: (2023) -
Robust Bayesian Inference via Variational Approximations of Generalized Rho-Posteriors
by: Khribch, EL Mahdi, et al.
Published: (2026) -
Adaptive Off-Policy Inference for M-Estimators Under Model Misspecification
by: Leiner, James, et al.
Published: (2025)