| Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models | Mar 24, 2018 | Variational Inference | —Unverified | 0 |
| Natural Gradient Variational Inference with Gaussian Mixture Models | Nov 15, 2021 | Variational Inference | —Unverified | 0 |
| Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference | May 27, 2025 | Variational Inference | —Unverified | 0 |
| Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors | Oct 24, 2020 | Computational Efficiencyregression | —Unverified | 0 |
| Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks | Dec 14, 2021 | ClassificationEdge Classification | —Unverified | 0 |
| NEMR: Network Embedding on Metric of Relation | Jan 20, 2021 | Link PredictionNetwork Embedding | —Unverified | 0 |
| Nested Hierarchical Dirichlet Processes | Oct 25, 2012 | Variational Inference | —Unverified | 0 |
| Nested Variational Compression in Deep Gaussian Processes | Dec 3, 2014 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Nested Variational Inference | Jun 21, 2021 | Variational Inference | —Unverified | 0 |
| Neural Adaptive Sequential Monte Carlo | Jun 10, 2015 | Variational Inference | —Unverified | 0 |
