| Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model | Dec 1, 2020 | regressionUncertainty Quantification | —Unverified | 0 |
| Improving Implicit Regularization of SGD with Preconditioning for Least Square Problems | Mar 13, 2024 | regression | —Unverified | 0 |
| Inferring Change Points in High-Dimensional Regression via Approximate Message Passing | Apr 11, 2024 | regressionUncertainty Quantification | —Unverified | 0 |
| Data-driven surrogate modelling and benchmarking for process equipment | Mar 13, 2020 | Active LearningBenchmarking | —Unverified | 0 |
| Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks | Apr 12, 2025 | regression | —Unverified | 0 |
| Improving Naive Bayes for Regression with Optimised Artificial Surrogate Data | Jul 16, 2017 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction | Dec 28, 2021 | regressionStock Prediction | —Unverified | 0 |
| Data Mining using Unguided Symbolic Regression on a Blast Furnace Dataset | Sep 23, 2013 | Implicit Relationsregression | —Unverified | 0 |
| Improving One-Shot Learning through Fusing Side Information | Oct 23, 2017 | One-Shot Learningregression | —Unverified | 0 |
| Infinite Mixtures of Multivariate Gaussian Processes | Jul 26, 2013 | Gaussian Processesregression | —Unverified | 0 |
| Position Bias Estimation with Item Embedding for Sparse Dataset | May 10, 2023 | DenoisingLearning-To-Rank | —Unverified | 0 |
| Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability | May 19, 2023 | regression | —Unverified | 0 |
| Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion | Feb 4, 2023 | regression | —Unverified | 0 |
| Implicit Bias and Fast Convergence Rates for Self-attention | Feb 8, 2024 | Binary ClassificationDecoder | —Unverified | 0 |
| Improving pronunciation assessment via ordinal regression with anchored reference samples | Oct 26, 2020 | regressionSentence | —Unverified | 0 |
| Improving Random Forests by Smoothing | May 11, 2025 | Gaussian Processesregression | —Unverified | 0 |
| Dataset Meta-Learning from Kernel Ridge-Regression | Oct 30, 2020 | Dataset DistillationMeta-Learning | —Unverified | 0 |
| Improving Regression-based Event Study Analysis Using a Topological Machine-learning Method | May 16, 2019 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Improving Regression Performance with Distributional Losses | Jun 12, 2018 | regressionReinforcement Learning | —Unverified | 0 |
| CRUDE: Calibrating Regression Uncertainty Distributions Empirically | May 26, 2020 | Autonomous VehiclesGeneral Classification | —Unverified | 0 |
| Reliable Neural Networks for Regression Uncertainty Estimation | Sep 16, 2021 | Ensemble Learningregression | —Unverified | 0 |
| Improving Robustness for Pose Estimation via Stable Heatmap Regression | May 8, 2021 | Pose Estimationregression | —Unverified | 0 |
| Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments | Feb 10, 2015 | regression | —Unverified | 0 |
| Data Summarization via Bilevel Optimization | Sep 26, 2021 | Active LearningBilevel Optimization | —Unverified | 0 |
| Implementing Fair Regression In The Real World | Apr 9, 2021 | Fairnessregression | —Unverified | 0 |