| MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning | Jun 3, 2019 | Bayesian OptimisationBIG-bench Machine Learning | —Unverified | 0 |
| Memoized Online Variational Inference for Dirichlet Process Mixture Models | Dec 1, 2013 | ClusteringDenoising | —Unverified | 0 |
| Message Passing Stein Variational Gradient Descent | Nov 13, 2017 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory | Jan 1, 2021 | Meta-LearningUncertainty Quantification | —Unverified | 0 |
| Meta-Learning for Variational Inference | Sep 25, 2019 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| Meta-Learning Divergences of Variational Inference | Jul 6, 2020 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference | Feb 27, 2020 | Variational Inference | —Unverified | 0 |
| Metropolis-Hastings view on variational inference and adversarial training | Oct 16, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| MISSO: Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex and Nonsmooth Problems | Jan 1, 2021 | Variational Inference | —Unverified | 0 |
| Mixed Membership Stochastic Blockmodels | Dec 1, 2008 | Variational Inference | —Unverified | 0 |
