| Marginal Likelihood Gradient for Bayesian Neural Networks | Nov 23, 2020 | Variational Inference | —Unverified | 0 |
| Markov Chain Monte Carlo and Variational Inference: Bridging the Gap | Oct 23, 2014 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems | May 18, 2022 | parameter estimationTime Series | —Unverified | 0 |
| Markov Chain Monte Carlo Policy Optimization | Jan 4, 2021 | continuous-controlContinuous Control | —Unverified | 0 |
| Markovian Score Climbing: Variational Inference with KL(p||q) | Mar 23, 2020 | Variational Inference | —Unverified | 0 |
| Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data | Jul 1, 2018 | Variational Inference | —Unverified | 0 |
| Matched bipartite block model with covariates | Mar 15, 2017 | ClusteringCommunity Detection | —Unverified | 0 |
| Matrix Inversion free variational inference in Conditional Student's T Processes | Nov 22, 2021 | validVariational Inference | —Unverified | 0 |
| MaxEntropy Pursuit Variational Inference | May 20, 2019 | Continual LearningVariational Inference | —Unverified | 0 |
| Maximizing submodular functions using probabilistic graphical models | Sep 10, 2013 | Variational Inference | —Unverified | 0 |
