| Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting | Jul 13, 2021 | Additive modelsDemand Forecasting | —Unverified | 0 |
| Model compression as constrained optimization, with application to neural nets. Part V: combining compressions | Jul 9, 2021 | Additive modelsLow-rank compression | —Unverified | 0 |
| Discovery of Causal Additive Models in the Presence of Unobserved Variables | Jun 4, 2021 | Additive modelsCausal Discovery | —Unverified | 0 |
| Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning | Jun 2, 2021 | Additive models | CodeCode Available | 0 |
| Group selection and shrinkage: Structured sparsity for semiparametric additive models | May 25, 2021 | Additive modelsregression | —Unverified | 0 |
| Fast Training Method for Stochastic Compositional Optimization Problems | May 21, 2021 | Additive modelsMeta-Learning | —Unverified | 0 |
| Detecting of multi-modality in probabilistic regression models | Apr 4, 2021 | Additive modelsDescriptive | —Unverified | 0 |
| Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges | Mar 20, 2021 | Additive modelsBIG-bench Machine Learning | —Unverified | 0 |
| Approximation and Learning with Deep Convolutional Models: a Kernel Perspective | Feb 19, 2021 | Additive modelsGeneralization Bounds | CodeCode Available | 0 |
| Flexible, Non-parametric Modeling Using Regularized Neural Networks | Dec 18, 2020 | Additive modelsModel Selection | CodeCode Available | 0 |