| Error Analysis of Generalized Nyström Kernel Regression | Dec 1, 2016 | Computational Efficiencyregression | —Unverified | 0 | 0 |
| Calibrated Reliable Regression using Maximum Mean Discrepancy | Jun 18, 2020 | BIG-bench Machine LearningPrediction Intervals | —Unverified | 0 | 0 |
| Adversarially Robust Estimate and Risk Analysis in Linear Regression | Dec 18, 2020 | Adversarial Robustnessregression | —Unverified | 0 | 0 |
| A Consistent Estimator for Confounding Strength | Nov 3, 2022 | regression | —Unverified | 0 | 0 |
| General Fair Empirical Risk Minimization | Jan 29, 2019 | Fairnessregression | —Unverified | 0 | 0 |
| General Game Heuristic Prediction Based on Ludeme Descriptions | May 26, 2021 | Predictionregression | —Unverified | 0 | 0 |
| ERQ: Error Reduction for Post-Training Quantization of Vision Transformers | Jul 9, 2024 | Quantizationregression | —Unverified | 0 | 0 |
| Generalised Bayesian Filtering via Sequential Monte Carlo | Dec 1, 2020 | Bayesian InferenceObject Tracking | —Unverified | 0 | 0 |
| ERM and RERM are optimal estimators for regression problems when malicious outliers corrupt the labels | Oct 24, 2019 | regression | —Unverified | 0 | 0 |
| Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees | May 26, 2025 | regressionRepresentation Learning | —Unverified | 0 | 0 |
