| Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR) | May 29, 2022 | Conformal PredictionDensity Estimation | CodeCode Available | 0 | 5 |
| DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data | Aug 31, 2021 | regression | CodeCode Available | 0 | 5 |
| Calibrated simplex-mapping classification | Mar 4, 2021 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| An innovative adaptive kriging approach for efficient binary classification of mechanical problems | Jul 2, 2019 | Binary ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Calibration by Distribution Matching: Trainable Kernel Calibration Metrics | Oct 31, 2023 | Decision Makingregression | CodeCode Available | 0 | 5 |
| DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression | Apr 16, 2016 | BlockingMulti-class Classification | CodeCode Available | 0 | 5 |
| Improving Levenberg-Marquardt Algorithm for Neural Networks | Dec 17, 2022 | regression | CodeCode Available | 0 | 5 |
| Calibration tests beyond classification | Oct 21, 2022 | ClassificationDecision Making | CodeCode Available | 0 | 5 |
| An integrated perspective of robustness in regression through the lens of the bias-variance trade-off | Jul 15, 2024 | parameter estimationregression | CodeCode Available | 0 | 5 |
| Distributional conformal prediction | Sep 17, 2019 | Conformal Predictioncounterfactual | CodeCode Available | 0 | 5 |
| Distributional Adaptive Soft Regression Trees | Oct 19, 2022 | regression | CodeCode Available | 0 | 5 |
| Active Sampling for Min-Max Fairness | Jun 11, 2020 | Fairnessregression | CodeCode Available | 0 | 5 |
| A Wasserstein Minimax Framework for Mixed Linear Regression | Jun 14, 2021 | Federated Learningregression | CodeCode Available | 0 | 5 |
| Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models | Feb 6, 2014 | Dimensionality ReductionGaussian Processes | CodeCode Available | 0 | 5 |
| An Intermediate-level Attack Framework on The Basis of Linear Regression | Mar 21, 2022 | regression | CodeCode Available | 0 | 5 |
| An Interpretable Adaptive Multiscale Attention Deep Neural Network for Tabular Data | May 15, 2024 | Classificationfeature selection | CodeCode Available | 0 | 5 |
| Can a Quantum Support Vector Machine algorithm be utilized to identify Key Biomarkers from Multi-Omics data of COVID19 patients? | Apr 29, 2025 | Diagnosticregression | CodeCode Available | 0 | 5 |
| Distributed Multivariate Regression Modeling For Selecting Biomarkers Under Data Protection Constraints | Mar 1, 2018 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Adversarial Perturbation Intensity Achieving Chosen Intra-Technique Transferability Level for Logistic Regression | Jan 6, 2018 | regression | CodeCode Available | 0 | 5 |
| Can bin-wise scaling improve consistency and adaptivity of prediction uncertainty for machine learning regression ? | Oct 18, 2023 | regression | CodeCode Available | 0 | 5 |
| A Visual Analytics Approach to Building Logistic Regression Models and its Application to Health Records | Jan 20, 2022 | regression | CodeCode Available | 0 | 5 |
| Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization | Sep 18, 2022 | regression | CodeCode Available | 0 | 5 |
| Infinite Width Graph Neural Networks for Node Regression/ Classification | Oct 12, 2023 | Gaussian ProcessesGraph Attention | CodeCode Available | 0 | 5 |
| Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery | May 13, 2024 | quantile regressionregression | CodeCode Available | 0 | 5 |
| A Multi-Horizon Quantile Recurrent Forecaster | Nov 29, 2017 | quantile regressionregression | CodeCode Available | 0 | 5 |
