| Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling | Oct 19, 2020 | ImputationMissing Labels | CodeCode Available | 0 | 5 |
| Adversarial Sign-Corrupted Isotonic Regression | Jul 14, 2022 | regression | CodeCode Available | 0 | 5 |
| Efficient expectation propagation for posterior approximation in high-dimensional probit models | Sep 4, 2023 | regression | CodeCode Available | 0 | 5 |
| Effective Non-Random Extreme Learning Machine | Nov 25, 2024 | regression | CodeCode Available | 0 | 5 |
| Effective and efficient ROI-wise visual encoding using an end-to-end CNN regression model and selective optimization | Jul 27, 2019 | regression | CodeCode Available | 0 | 5 |
| Efficient Algorithms for Multidimensional Segmented Regression | Mar 24, 2020 | regression | CodeCode Available | 0 | 5 |
| A Convex Framework for Fair Regression | Jun 7, 2017 | Fairnessregression | CodeCode Available | 0 | 5 |
| Efficient computation of predictive probabilities in probit models via expectation propagation | Sep 4, 2023 | Binary ClassificationForm | CodeCode Available | 0 | 5 |
| Model-based Reinforcement Learning for Continuous Control with Posterior Sampling | Nov 20, 2020 | continuous-controlContinuous Control | CodeCode Available | 0 | 5 |
| ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model | Dec 5, 2018 | Neural Network Compressionregression | CodeCode Available | 0 | 5 |