| Hierarchical Gaussian Process Models for Regression Discontinuity/Kink under Sharp and Fuzzy Designs | Oct 3, 2021 | Causal Inferenceregression | —Unverified | 0 |
| Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery | Feb 1, 2023 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis | Feb 4, 2025 | Binary ClassificationUncertainty Quantification | —Unverified | 0 |
| Hierarchical Spatio-Temporal Uncertainty Quantification for Distributed Energy Adoption | Nov 19, 2024 | Conformal PredictionManagement | —Unverified | 0 |
| Hierarchical Uncertainty Exploration via Feedforward Posterior Trees | May 24, 2024 | Image RestorationUncertainty Quantification | —Unverified | 0 |
| High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization | Jan 17, 2024 | Stochastic OptimizationUncertainty Quantification | —Unverified | 0 |
| High-Dimensional Confidence Regions in Sparse MRI | Jul 18, 2024 | Compressive SensingUncertainty Quantification | —Unverified | 0 |
| Spatial best linear unbiased prediction: A computational mathematics approach for high dimensional massive datasets | Jan 1, 2017 | Uncertainty QuantificationVocal Bursts Intensity Prediction | —Unverified | 0 |
| High-Dimensional Uncertainty Quantification via Tensor Regression with Rank Determination and Adaptive Sampling | Mar 31, 2021 | regressionUncertainty Quantification | —Unverified | 0 |
| Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs | Oct 29, 2019 | Uncertainty Quantification | —Unverified | 0 |
