| A Gaussian Process Regression Model for Distribution Inputs | Jan 31, 2017 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 |
| Are screening methods useful in feature selection? An empirical study | Sep 14, 2018 | Classificationfeature selection | —Unverified | 0 |
| Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction | Apr 15, 2019 | General Classificationregression | —Unverified | 0 |
| A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs | Jul 4, 2016 | regression | —Unverified | 0 |
| Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions | Jun 2, 2020 | Combinatorial Optimizationregression | —Unverified | 0 |
| A Generic Regression Framework for Pose Recognition on Color and Depth Images | Sep 23, 2017 | General ClassificationObject Recognition | —Unverified | 0 |
| A review of predictive uncertainty estimation with machine learning | Sep 17, 2022 | Additive modelsquantile regression | —Unverified | 0 |
| A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators | Jan 28, 2020 | 6D Pose Estimation using RGBAutonomous Driving | —Unverified | 0 |
| Approximation Bounds for Transformer Networks with Application to Regression | Apr 16, 2025 | regression | —Unverified | 0 |
| A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking | Nov 25, 2022 | Gaussian ProcessesGPR | —Unverified | 0 |