| Approximation and Learning with Deep Convolutional Models: a Kernel Perspective | Feb 19, 2021 | Additive modelsGeneralization Bounds | CodeCode Available | 0 |
| High-Dimensional Bayesian Optimization via Tree-Structured Additive Models | Dec 24, 2020 | Additive modelsBayesian Optimization | CodeCode Available | 1 |
| Flexible, Non-parametric Modeling Using Regularized Neural Networks | Dec 18, 2020 | Additive modelsModel Selection | CodeCode Available | 0 |
| Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions | Dec 15, 2020 | Additive modelsCollaborative Filtering | —Unverified | 0 |
| Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery | Dec 1, 2020 | Additive modelsBilevel Optimization | —Unverified | 0 |
| Generalized Boosting | Dec 1, 2020 | Additive modelsClassification | —Unverified | 0 |
| Deep Learning for Individual Heterogeneity | Oct 28, 2020 | Additive modelsDeep Learning | CodeCode Available | 0 |
| Learning Joint Intensity in a Multivariate Poisson Process on Statistical Manifolds | Oct 19, 2020 | Additive models | —Unverified | 0 |
| How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring | Oct 16, 2020 | Additive modelsDeep Learning | —Unverified | 0 |
| Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines | Oct 14, 2020 | Additive modelsBIG-bench Machine Learning | CodeCode Available | 1 |
