| Efficient Algorithms for Multidimensional Segmented Regression | Mar 24, 2020 | regression | 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 |
| ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods | Dec 21, 2022 | Binary Classificationregression | CodeCode Available | 0 | 5 |
| Dynamic Network Quantile Regression Model | Nov 15, 2021 | modelquantile regression | CodeCode Available | 0 | 5 |
| A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar? | Oct 31, 2022 | hand-object poseMeta-Learning | CodeCode Available | 0 | 5 |
| Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning | Feb 11, 2024 | Atari GamesDistributional Reinforcement Learning | CodeCode Available | 0 | 5 |
| Efficient computation of predictive probabilities in probit models via expectation propagation | Sep 4, 2023 | Binary ClassificationForm | CodeCode Available | 0 | 5 |
| Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models | Aug 12, 2022 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) data | Jan 17, 2023 | Dimensionality Reductionfeature selection | CodeCode Available | 0 | 5 |
| Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for Paleoceanography | Jul 20, 2019 | Bayesian InferenceGPR | CodeCode Available | 0 | 5 |
