Saved in:
| Main Author: | Zhang, Di |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.06978 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian Modeling of Collatz Stopping Times: A Probabilistic Machine Learning Perspective
by: Bonacorsi, Nicolò, et al.
Published: (2026)
by: Bonacorsi, Nicolò, et al.
Published: (2026)
Multigrid Monte Carlo Revisited: Theory and Bayesian Inference
by: Kazashi, Yoshihito, et al.
Published: (2024)
by: Kazashi, Yoshihito, et al.
Published: (2024)
Fast Gaussian process inference by exact Matérn kernel decomposition
by: Langrené, Nicolas, et al.
Published: (2025)
by: Langrené, Nicolas, et al.
Published: (2025)
Exact affine conditioning beyond Gaussians: a unique characterization of the ensemble Kalman update
by: Jorgensen, Frederic J. N., et al.
Published: (2025)
by: Jorgensen, Frederic J. N., et al.
Published: (2025)
From Tail Universality to Bernstein-von Mises: A Unified Statistical Theory of Semi-Implicit Variational Inference
by: Plummer, Sean
Published: (2025)
by: Plummer, Sean
Published: (2025)
Comparing EPGP Surrogates and Finite Elements Under Degree-of-Freedom Parity
by: Amo, Obed, et al.
Published: (2025)
by: Amo, Obed, et al.
Published: (2025)
RANDSMAPs: Random-Feature/multi-Scale Neural Decoders with Mass Preservation
by: Patsatzis, Dimitrios G., et al.
Published: (2026)
by: Patsatzis, Dimitrios G., et al.
Published: (2026)
A Physics-Informed Variational Inference Framework for Identifying Attributions of Extreme Stress Events in Low-Grain Polycrystals
by: Zhang, Yinling, et al.
Published: (2025)
by: Zhang, Yinling, et al.
Published: (2025)
Quantum computer formulation of the FKP-operator eigenvalue problem for probabilistic learning on manifolds
by: Soize, Christian, et al.
Published: (2025)
by: Soize, Christian, et al.
Published: (2025)
Filtering with Randomised Observations: Sequential Learning of Relevant Subspace Properties and Accuracy Analysis
by: Abedini, Nazanin, et al.
Published: (2025)
by: Abedini, Nazanin, et al.
Published: (2025)
Multirate Stein Variational Gradient Descent for Efficient Bayesian Sampling
by: Sarshar, Arash
Published: (2026)
by: Sarshar, Arash
Published: (2026)
Parameter Estimation in Nonlinear Multivariate Stochastic Differential Equations Based on Splitting Schemes
by: Pilipovic, Predrag, et al.
Published: (2022)
by: Pilipovic, Predrag, et al.
Published: (2022)
Variance-Reduced Diffusion Sampling via Target Score Identity
by: Duston, Alois, et al.
Published: (2026)
by: Duston, Alois, et al.
Published: (2026)
A Selection Premium Decomposition for the Expected Maximum of Random Walks
by: de la Pena, Victor H., et al.
Published: (2026)
by: de la Pena, Victor H., et al.
Published: (2026)
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization
by: Luo, Hengrui, et al.
Published: (2022)
by: Luo, Hengrui, et al.
Published: (2022)
Integration of Structural Equation Modeling and Bayesian Networks in the Context of Causal Inference: A Case Study on Personal Positive Youth Development
by: Benitez, Edgar, et al.
Published: (2024)
by: Benitez, Edgar, et al.
Published: (2024)
Initialization of a Polyharmonic Cascade, Launch and Testing
by: Bakhvalov, Yuriy N.
Published: (2025)
by: Bakhvalov, Yuriy N.
Published: (2025)
Polyharmonic Cascade
by: Bakhvalov, Yuriy N.
Published: (2025)
by: Bakhvalov, Yuriy N.
Published: (2025)
Nonparametric Linear Feature Learning in Regression Through Regularisation
by: Follain, Bertille, et al.
Published: (2023)
by: Follain, Bertille, et al.
Published: (2023)
Optimal Linear Baseline Models for Scientific Machine Learning
by: DeLise, Alexander, et al.
Published: (2025)
by: DeLise, Alexander, et al.
Published: (2025)
Fast exact recovery of noisy matrix from few entries: the infinity norm approach
by: Tran, BaoLinh, et al.
Published: (2025)
by: Tran, BaoLinh, et al.
Published: (2025)
Asymptotic Consistency and Generalization in Hybrid Models of Regularized Selection and Nonlinear Learning
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)
Sharp Decoupling Inequalities for the Variances and Second Moments of Sums of Dependent Random Variables
by: de la Pena, Victor H., et al.
Published: (2025)
by: de la Pena, Victor H., et al.
Published: (2025)
A Tits alternative for $\mathbb{R}$-buildings of type $\tilde{A}_2$
by: Bars, Corentin Le, et al.
Published: (2024)
by: Bars, Corentin Le, et al.
Published: (2024)
A convergence framework for energy minimisation of linear self-adjoint elliptic PDEs in nonlinear approximation spaces
by: Magueresse, Alexandre, et al.
Published: (2025)
by: Magueresse, Alexandre, et al.
Published: (2025)
Energy minimisation using overlapping tensor-product free-knot B-splines
by: Magueresse, Alexandre, et al.
Published: (2025)
by: Magueresse, Alexandre, et al.
Published: (2025)
Strang splitting estimator for nonlinear multivariate stochastic differential equations with Pearson-type multiplicative noise
by: Pilipović, Predrag, et al.
Published: (2026)
by: Pilipović, Predrag, et al.
Published: (2026)
Non-separable Covariance Kernels for Spatiotemporal Gaussian Processes based on a Hybrid Spectral Method and the Harmonic Oscillator
by: Hristopulos, Dionissios T.
Published: (2023)
by: Hristopulos, Dionissios T.
Published: (2023)
Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes
by: Chen, Yifan, et al.
Published: (2023)
by: Chen, Yifan, et al.
Published: (2023)
Multi-Fidelity Physics-Informed Neural Networks with Bayesian Uncertainty Quantification and Adaptive Residual Learning for Efficient Solution of Parametric Partial Differential Equations
by: Imanov, Olaf Yunus Laitinen
Published: (2026)
by: Imanov, Olaf Yunus Laitinen
Published: (2026)
Statistical accuracy of the ensemble Kalman filter in the near-linear setting
by: Calvello, E., et al.
Published: (2025)
by: Calvello, E., et al.
Published: (2025)
Tensor-based compression of the sea temperature data
by: Kosolapov, Ilya, et al.
Published: (2025)
by: Kosolapov, Ilya, et al.
Published: (2025)
Polyharmonic Spline Packages: Composition, Efficient Procedures for Computation and Differentiation
by: Bakhvalov, Yuriy N.
Published: (2025)
by: Bakhvalov, Yuriy N.
Published: (2025)
An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models
by: Wang, Binxu, et al.
Published: (2025)
by: Wang, Binxu, et al.
Published: (2025)
Adaptive Benign Overfitting (ABO): Overparameterized RLS for Online Learning in Non-stationary Time-series
by: Mijares, Luis Ontaneda, et al.
Published: (2026)
by: Mijares, Luis Ontaneda, et al.
Published: (2026)
Higher-Order Equilibrium Tracking for EM-Compressible Online Estimation
by: Li, ZhiMing, et al.
Published: (2026)
by: Li, ZhiMing, et al.
Published: (2026)
Maximum a posteriori testing in statistical inverse problems
by: Kretschmann, Remo, et al.
Published: (2024)
by: Kretschmann, Remo, et al.
Published: (2024)
Bayes with No Shame: Admissibility Geometries of Predictive Inference
by: Polson, Nicholas G., et al.
Published: (2026)
by: Polson, Nicholas G., et al.
Published: (2026)
Adaptive Gaussian Process Regression for Bayesian inverse problems
by: Villani, Paolo, et al.
Published: (2024)
by: Villani, Paolo, et al.
Published: (2024)
G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration
by: Holt, Samuel, et al.
Published: (2025)
by: Holt, Samuel, et al.
Published: (2025)
Similar Items
-
Bayesian Modeling of Collatz Stopping Times: A Probabilistic Machine Learning Perspective
by: Bonacorsi, Nicolò, et al.
Published: (2026) -
Multigrid Monte Carlo Revisited: Theory and Bayesian Inference
by: Kazashi, Yoshihito, et al.
Published: (2024) -
Fast Gaussian process inference by exact Matérn kernel decomposition
by: Langrené, Nicolas, et al.
Published: (2025) -
Exact affine conditioning beyond Gaussians: a unique characterization of the ensemble Kalman update
by: Jorgensen, Frederic J. N., et al.
Published: (2025) -
From Tail Universality to Bernstein-von Mises: A Unified Statistical Theory of Semi-Implicit Variational Inference
by: Plummer, Sean
Published: (2025)