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| DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression | Apr 16, 2016 | BlockingMulti-class Classification | CodeCode Available | 0 | 5 |
| Efficient Algorithms for Multidimensional Segmented Regression | Mar 24, 2020 | regression | CodeCode Available | 0 | 5 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 | 5 |
| Autoregressive Quantile Networks for Generative Modeling | Jun 14, 2018 | Diversityquantile regression | CodeCode Available | 0 | 5 |
| Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds | Oct 29, 2018 | Gaussian ProcessesGeneralization Bounds | CodeCode Available | 0 | 5 |
| CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images | Nov 7, 2023 | regression | CodeCode Available | 0 | 5 |
| Celestial Machine Learning: Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI Feynman | Dec 19, 2023 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models | Feb 6, 2014 | Dimensionality ReductionGaussian Processes | CodeCode Available | 0 | 5 |
| Distributional Adaptive Soft Regression Trees | Oct 19, 2022 | regression | CodeCode Available | 0 | 5 |