| BooST: Boosting Smooth Trees for Partial Effect Estimation in Nonlinear Regressions | Aug 10, 2018 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery | May 10, 2013 | Activity Predictionparameter estimation | —Unverified | 0 |
| Bias-Aware Inference in Fuzzy Regression Discontinuity Designs | Jun 11, 2019 | regressionvalid | —Unverified | 0 |
| Adversarially Robust PAC Learnability of Real-Valued Functions | Jun 26, 2022 | regression | —Unverified | 0 |
| Bias-Aware Inference in Regularized Regression Models | Dec 29, 2020 | regression | —Unverified | 0 |
| A Consistent Estimator for Confounding Strength | Nov 3, 2022 | regression | —Unverified | 0 |
| Adversarially Robust Estimate and Risk Analysis in Linear Regression | Dec 18, 2020 | Adversarial Robustnessregression | —Unverified | 0 |
| 3D Bounding Box Detection in Volumetric Medical Image Data: A Systematic Literature Review | Dec 10, 2020 | Feature Engineeringregression | —Unverified | 0 |
| Bias-Compensated Integral Regression for Human Pose Estimation | Jan 25, 2023 | Hand Pose EstimationPose Estimation | —Unverified | 0 |
| An Improved Deep Belief Network Model for Road Safety Analyses | Dec 17, 2018 | Predictionregression | —Unverified | 0 |
| A consistent deterministic regression tree for non-parametric prediction of time series | May 7, 2014 | Predictionregression | —Unverified | 0 |
| An Improved Composite Functional Gradient Learning by Wasserstein Regularization for Generative adversarial networks | Sep 29, 2021 | Image Generationregression | —Unverified | 0 |
| An Improved Approach for Prediction of Parkinson's Disease using Machine Learning Techniques | Oct 26, 2016 | BIG-bench Machine LearningDiagnostic | —Unverified | 0 |
| Adversarial Networks for Camera Pose Regression and Refinement | Mar 15, 2019 | Pose Estimationregression | —Unverified | 0 |
| A Case Study on the Classification of Lost Circulation Events During Drilling using Machine Learning Techniques on an Imbalanced Large Dataset | Sep 4, 2022 | Ensemble LearningFeature Importance | —Unverified | 0 |
| Bias Correction for Regularized Regression and its Application in Learning with Streaming Data | Mar 15, 2016 | Incremental Learningregression | —Unverified | 0 |
| An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression | Dec 1, 2018 | regression | —Unverified | 0 |
| An improper estimator with optimal excess risk in misspecified density estimation and logistic regression | Dec 23, 2019 | Density Estimationregression | —Unverified | 0 |
| An implicit function learning approach for parametric modal regression | Feb 14, 2020 | regression | —Unverified | 0 |
| A Consistent and Scalable Algorithm for Best Subset Selection in Single Index Models | Sep 12, 2023 | Model Selectionregression | —Unverified | 0 |
| Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes | Apr 19, 2019 | Meta-Learningregression | —Unverified | 0 |
| An Homotopy Algorithm for the Lasso with Online Observations | Dec 1, 2008 | compressed sensingDenoising | —Unverified | 0 |
| Adversarial Bi-Regressor Network for Domain Adaptive Regression | Sep 20, 2022 | Domain Adaptationregression | —Unverified | 0 |
| Angular upsampling in diffusion MRI using contextual HemiHex sub-sampling in q-space | Nov 1, 2022 | Diffusion MRIregression | —Unverified | 0 |
| Adversarial Attention Modeling for Multi-dimensional Emotion Regression | Jul 1, 2019 | regression | —Unverified | 0 |