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| Adversarial Likelihood-Free Inference on Black-Box Generator | Apr 13, 2020 | Generative Adversarial Networkparameter estimation | —Unverified | 0 | 0 |
| Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery | May 10, 2013 | Activity Predictionparameter estimation | —Unverified | 0 | 0 |
| Fast Likelihood-Free Parameter Estimation for Lévy Processes | May 3, 2025 | parameter estimationUncertainty Quantification | —Unverified | 0 | 0 |
| Calibrar: an R package for fitting complex ecological models | Mar 10, 2016 | parameter estimation | —Unverified | 0 | 0 |
| New Algorithms for Discrete-Time Parameter Estimation | Mar 30, 2021 | parameter estimation | —Unverified | 0 | 0 |
| Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe | Dec 12, 2022 | Epidemiologyparameter estimation | —Unverified | 0 | 0 |
| Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing | Apr 11, 2023 | parameter estimationState Estimation | —Unverified | 0 | 0 |
| BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood | Jul 25, 2019 | Density Estimationparameter estimation | —Unverified | 0 | 0 |
| An Evolutionary Algorithm with Crossover and Mutation for Model-Based Clustering | Oct 31, 2018 | ClusteringGeneral Classification | —Unverified | 0 | 0 |