| MaxEntropy Pursuit Variational Inference | May 20, 2019 | Continual LearningVariational Inference | —Unverified | 0 | 0 |
| Maximizing submodular functions using probabilistic graphical models | Sep 10, 2013 | Variational Inference | —Unverified | 0 | 0 |
| Max-Margin Nonparametric Latent Feature Models for Link Prediction | Feb 24, 2016 | Link PredictionPrediction | —Unverified | 0 | 0 |
| MCMC-driven learning | Feb 14, 2024 | Variational Inference | —Unverified | 0 | 0 |
| MCMC-Interactive Variational Inference | Oct 2, 2020 | Variational Inference | —Unverified | 0 | 0 |
| MCMC Variational Inference via Uncorrected Hamiltonian Annealing | Jul 8, 2021 | Variational Inference | —Unverified | 0 | 0 |
| Mean-Field Variational Inference for Gradient Matching with Gaussian Processes | Oct 21, 2016 | Gaussian ProcessesVariational Inference | —Unverified | 0 | 0 |
| Mean-field Variational Inference via Wasserstein Gradient Flow | Jul 17, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models | Nov 14, 2023 | Variational Inference | —Unverified | 0 | 0 |
| Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations | Oct 26, 2020 | Variational Inference | —Unverified | 0 | 0 |
| Measurement error models: from nonparametric methods to deep neural networks | Jul 15, 2020 | Efficient Neural Networkregression | —Unverified | 0 | 0 |
| Measuring Systematic Risk with Neural Network Factor Model | Sep 13, 2018 | Feature Engineeringmodel | —Unverified | 0 | 0 |
| MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning | Jun 3, 2019 | Bayesian OptimisationBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Memoized Online Variational Inference for Dirichlet Process Mixture Models | Dec 1, 2013 | ClusteringDenoising | —Unverified | 0 | 0 |
| Message Passing Stein Variational Gradient Descent | Nov 13, 2017 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory | Jan 1, 2021 | Meta-LearningUncertainty Quantification | —Unverified | 0 | 0 |
| Meta-Learning for Variational Inference | Sep 25, 2019 | Bayesian InferenceComputational Efficiency | —Unverified | 0 | 0 |
| Meta-Learning Divergences of Variational Inference | Jul 6, 2020 | Bayesian InferenceComputational Efficiency | —Unverified | 0 | 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 | 0 |
| Metropolis-Hastings view on variational inference and adversarial training | Oct 16, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| MISSO: Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex and Nonsmooth Problems | Jan 1, 2021 | Variational Inference | —Unverified | 0 | 0 |
| Mixed Membership Stochastic Blockmodels | Dec 1, 2008 | Variational Inference | —Unverified | 0 | 0 |
| Mixture of Inference Networks for VAE-based Audio-visual Speech Enhancement | Dec 23, 2019 | DecoderSpeech Enhancement | —Unverified | 0 | 0 |
| Mixture of neural operator experts for learning boundary conditions and model selection | Feb 6, 2025 | Mixture-of-ExpertsModel Selection | —Unverified | 0 | 0 |
| Mixture Representation Learning with Coupled Autoencoding Agents | Sep 28, 2020 | Representation LearningVariational Inference | —Unverified | 0 | 0 |