Cover Image

Sobolev Calibration of Imperfect Computer Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Qingwen, Wang, Wenjia
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improved Convergence Rate of Nested Simulation with LSE on Sieve
by: Liu, Ruoxue, et al.
Published: (2023)

Inference in Experiments with Matched Pairs and Imperfect Compliance
by: Bai, Yuehao, et al.
Published: (2023)

Dynamic Investment Strategies Through Market Classification and Volatility: A Machine Learning Approach
by: Li, Jinhui, et al.
Published: (2025)

Calibrated Model Criticism Using Split Predictive Checks
by: Li, Jiawei, et al.
Published: (2022)

Analysis of Langevin Monte Carlo from Poincaré to Log-Sobolev
by: Chewi, Sinho, et al.
Published: (2021)

Wasserstein Rate Driven CLTs for Markov Chains with Weighted Lipschitz, Sobolev, and Stein Test Functions
by: Jin, Rui, et al.
Published: (2020)

Sobolev Norm Learning Rates for Conditional Mean Embeddings
by: Talwai, Prem, et al.
Published: (2021)

Principal Feature Detection via $Φ$-Sobolev Inequalities
by: Li, Matthew T. C., et al.
Published: (2023)

Effect-Wise Inference for Smoothing Spline ANOVA on Tensor-Product Sobolev Space
by: Cho, Youngjin, et al.
Published: (2026)

Hypothesis Testing for Penalized Estimating Equations with Cross-Fitted Covariance Calibration
by: Zhou, Jing, et al.
Published: (2026)

Auto-Calibration Tests for Discrete Finite Regression Functions
by: Wüthrich, Mario V.
Published: (2024)

Reassessing How to Compare and Improve the Calibration of Machine Learning Models
by: Chidambaram, Muthu, et al.
Published: (2024)

Concentration and Calibration in Predictive Bayesian Inference
by: Frazier, David T., et al.
Published: (2026)

On Computationally Efficient Multi-Class Calibration
by: Gopalan, Parikshit, et al.
Published: (2024)

Simultaneous Frequentist Calibration of Confidence Regions for Multiple Functionals in Constrained Inverse Problems
by: Batlle, Pau, et al.
Published: (2025)

On Uncertainty Calibration for Equivariant Functions
by: Berman, Edward, et al.
Published: (2025)

Integrating Heterogeneous Information in Randomized Experiments: A Unified Calibration Framework
by: Ma, Wei, et al.
Published: (2026)

Fast kernel methods: Sobolev, physics-informed, and additive models
by: Doumèche, Nathan, et al.
Published: (2025)

Non-asymptotic confidence regions on RKHS. The Paley-Wiener and standard Sobolev space cases
by: Gamboa, Fabrice, et al.
Published: (2025)

Beyond the Average: Distributional Causal Inference under Imperfect Compliance
by: Byambadalai, Undral, et al.
Published: (2025)

Bayesian Calibration for Prediction in a Multi-Output Transposition Context
by: Sire, Charlie, et al.
Published: (2024)

Return-to-Baseline Testing via Empirically Calibrated e-processes
by: Regis, Marta, et al.
Published: (2026)

Scoring Rules and Calibration for Imprecise Probabilities
by: Fröhlich, Christian, et al.
Published: (2024)

Orthogonal Causal Calibration
by: Whitehouse, Justin, et al.
Published: (2024)

Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields
by: Stoehr, Julien, et al.
Published: (2015)

Geographically Weighted Regression for Air Quality Low-Cost Sensor Calibration
by: Poggi, Jean-Michel, et al.
Published: (2025)

Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling
by: Li, Yufan, et al.
Published: (2025)

Information-theoretic Generalization Analysis for Expected Calibration Error
by: Futami, Futoshi, et al.
Published: (2024)

Doubly Robust and Efficient Calibration of Prediction Sets for Right-Censored Time-to-Event Outcomes
by: Farina, Rebecca, et al.
Published: (2025)

From Model Selection to Model Averaging: A Comparison for Nested Linear Models
by: Xu, Wenchao, et al.
Published: (2022)

RACER: Risk-Aware Calibrated Efficient Routing for Large Language Models
by: Hao, Sai, et al.
Published: (2026)

Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
by: Wang, Peng, et al.
Published: (2022)

On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models
by: Zhang, Yangjing, et al.
Published: (2022)

Beyond ECE: Calibrated Size Ratio, Risk Assessment, and Confidence-Weighted Metrics
by: Martin-Maroto, Fernando, et al.
Published: (2026)

Information-Theoretic and Computational Limits of Correlation Detection under Graph Sampling
by: Huang, Dong, et al.
Published: (2026)

On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling
by: Tang, Rong, et al.
Published: (2022)

Rapid Bayesian Computation and Estimation for Neural Networks via Log-Concave Coupling
by: McDonald, Curtis, et al.
Published: (2024)

High-dimensional Sobolev tests on hyperspheres
by: Ebner, Bruno, et al.
Published: (2025)

$L_2$-Regularized Empirical Risk Minimization Guarantees Small Smooth Calibration Error
by: Fujisawa, Masahiro, et al.
Published: (2025)

Computationally Efficient Algorithms for Simulating Isotropic Gaussian Random Fields on Graphs with Euclidean Edges
by: Alegría, Alfredo, et al.
Published: (2024)