:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hatstatt, A., Zhu, X., Sudret, B.
Format:	Preprint
Published:	2026
Subjects:	Methodology Machine Learning
Online Access:	https://arxiv.org/abs/2601.16636
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AL-SPCE -- Reliability analysis for nondeterministic models using stochastic polynomial chaos expansions and active learning
by: Pires, A., et al.
Published: (2025)

MF-GLaM: A multifidelity stochastic emulator using generalized lambda models
by: Giannoukou, K., et al.
Published: (2025)

High-dimensional reliability-based design optimization using stochastic emulators
by: Moustapha, M., et al.
Published: (2026)

Uncertainty-aware multi-fidelity surrogate modeling with noisy data
by: Giannoukou, Katerina, et al.
Published: (2024)

Reliability analysis for non-deterministic limit-states using stochastic emulators
by: Pires, Anderson V., et al.
Published: (2024)

Conformal prediction for frequency-severity modeling
by: Graziadei, Helton, et al.
Published: (2023)

Gradient-enhanced global sensitivity analysis with Poincar{é} chaos expansions
by: Roustant, O, et al.
Published: (2025)

Conformal link prediction for false discovery rate control
by: Marandon, Ariane
Published: (2023)

Generative Conformal Prediction with Vectorized Non-Conformity Scores
by: Zheng, Minxing, et al.
Published: (2024)

Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression
by: Zgodic, Anja, et al.
Published: (2023)

High-dimensional prediction for count response via sparse exponential weights
by: Mai, The Tien
Published: (2024)

Noise-Adaptive Conformal Classification with Marginal Coverage
by: Bortolotti, Teresa, et al.
Published: (2025)

Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference
by: Sebastián, Carlos, et al.
Published: (2024)

Conformal Calibration of Statistical Confidence Sets
by: Cabezas, Luben M. C., et al.
Published: (2024)

Conformal changepoint localization
by: Hore, Rohan, et al.
Published: (2026)

Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks
by: Jantre, Sanket, et al.
Published: (2023)

Elements of Conformal Prediction for Statisticians
by: Sesia, Matteo, et al.
Published: (2026)

Self-Calibrating Conformal Prediction
by: van der Laan, Lars, et al.
Published: (2024)

Boosted Conformal Prediction Intervals
by: Xie, Ran, et al.
Published: (2024)

Classification by sparse generalized additive models
by: Abramovich, Felix
Published: (2022)

Flow-Based Conformal Predictive Distributions
by: Harris, Trevor
Published: (2026)

Multi-Distribution Robust Conformal Prediction
by: Yang, Yuqi, et al.
Published: (2026)

Conformalized Regression for Continuous Bounded Outcomes
by: Wu, Zhanli, et al.
Published: (2025)

From Conformal Predictions to Confidence Regions
by: Guille-Escuret, Charles, et al.
Published: (2024)

Conformal Risk Control for Ordinal Classification
by: Xu, Yunpeng, et al.
Published: (2024)

Transductive Conformal Inference for Full Ranking
by: Fermanian, Jean-Baptiste, et al.
Published: (2025)

Conflict Forecasting via Conformal Prediction for Markov Processes
by: Basarkar, Aditya, et al.
Published: (2026)

Conformalized Super Learner
by: Wu, Zhanli, et al.
Published: (2026)

Stable Localized Conformal Prediction via Transduction
by: Min, Yinjie, et al.
Published: (2026)

Conformal Prediction via Transported Beta Laws
by: Ramos, Thiago R., et al.
Published: (2026)

Optimal Model Selection for Conformalized Robust Optimization
by: Bao, Yajie, et al.
Published: (2025)

Distribution-free Conformal Prediction for Ordinal Classification
by: Chakraborty, Subhrasish, et al.
Published: (2024)

Integrating Uncertainty Awareness into Conformalized Quantile Regression
by: Rossellini, Raphael, et al.
Published: (2023)

STACI: Spatio-Temporal Aleatoric Conformal Inference
by: Feng, Brandon R., et al.
Published: (2025)

Exponential Lasso: robust sparse penalization under heavy-tailed noise and outliers with exponential-type loss
by: Mai, The Tien
Published: (2025)

Online scalable Gaussian processes with conformal prediction for guaranteed coverage
by: Xu, Jinwen, et al.
Published: (2024)

CREDO: Epistemic-Aware Conformalized Credal Envelopes for Regression
by: Cabezas, Luben M. C., et al.
Published: (2026)

Online Conformal Prediction for Non-Exchangeable Panel Data
by: Tu, Daohong, et al.
Published: (2026)

Extending Prediction-Powered Inference through Conformal Prediction
by: Csillag, Daniel, et al.
Published: (2025)

Unified Conformalized Multiple Testing with Full Data Efficiency
by: Huo, Yuyang, et al.
Published: (2025)