| Notes on Noise Contrastive Estimation and Negative Sampling | Oct 30, 2014 | Binary Classificationparameter estimation | CodeCode Available | 0 |
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| Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models | Feb 17, 2022 | parameter estimation | CodeCode Available | 0 |
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| Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters | Jun 30, 2014 | Bayesian OptimisationGaussian Processes | CodeCode Available | 0 |
| Parameter Estimation using Neural Networks in the Presence of Detector Effects | Oct 7, 2020 | parameter estimation | CodeCode Available | 0 |
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| Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds | May 10, 2021 | EpidemiologyExperimental Design | CodeCode Available | 0 |
| Sets of autoencoders with shared latent spaces | Nov 6, 2018 | parameter estimation | CodeCode Available | 0 |
| Grammar Induction for Minimalist Grammars using Variational Bayesian Inference : A Technical Report | Oct 31, 2017 | Bayesian Inferenceparameter estimation | CodeCode Available | 0 |
| 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 |
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| 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 |
