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| Graph Learning from Data under Structural and Laplacian Constraints | Nov 16, 2016 | Computational EfficiencyGraph Learning | CodeCode Available | 0 |
| Low-complexity subspace-descent over symmetric positive definite manifold | May 3, 2023 | parameter estimationRiemannian optimization | CodeCode Available | 0 |
| Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE | Dec 12, 2020 | parameter estimationTime Series Analysis | CodeCode Available | 0 |
| A Method of Moments for Mixture Models and Hidden Markov Models | Mar 3, 2012 | parameter estimation | CodeCode Available | 0 |
| Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods | May 26, 2022 | Bayesian Inferenceparameter estimation | CodeCode Available | 0 |
| Switching Autoregressive Low-rank Tensor Models | Jun 5, 2023 | parameter estimationTime Series Analysis | CodeCode Available | 0 |
