| DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks | Oct 2, 2018 | parameter estimation | CodeCode Available | 0 | 5 |
| Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs | Aug 25, 2017 | parameter estimationProbabilistic Programming | CodeCode Available | 0 | 5 |
| Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning | Aug 10, 2018 | parameter estimation | CodeCode Available | 0 | 5 |
| Extended Fiducial Inference: Toward an Automated Process of Statistical Inference | Jul 31, 2024 | parameter estimation | CodeCode Available | 0 | 5 |
| Finite Mixtures of Multivariate Poisson-Log Normal Factor Analyzers for Clustering Count Data | Nov 13, 2023 | ClusteringModel Selection | CodeCode Available | 0 | 5 |
| Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning | Oct 5, 2022 | Diffusion MRIparameter estimation | CodeCode Available | 0 | 5 |
| Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling | Dec 31, 2021 | Discrete Choice Modelsparameter estimation | CodeCode Available | 0 | 5 |
| Applying Evolutionary Metaheuristics for Parameter Estimation of Individual-Based Models | May 24, 2020 | parameter estimation | CodeCode Available | 0 | 5 |
| Contrastive Pessimistic Likelihood Estimation for Semi-Supervised Classification | Mar 1, 2015 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods | May 26, 2022 | Bayesian Inferenceparameter estimation | CodeCode Available | 0 | 5 |
