| Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization | Oct 4, 2019 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Non-Factorised Variational Inference in Dynamical Systems | Dec 14, 2018 | Variational Inference | —Unverified | 0 |
| Nonlinear Hawkes Processes in Time-Varying System | Jun 9, 2021 | Bayesian InferencePoint Processes | —Unverified | 0 |
| Nonlinear Hawkes Process with Gaussian Process Self Effects | May 20, 2021 | Bayesian InferenceData Augmentation | —Unverified | 0 |
| Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control | Apr 15, 2024 | Model Predictive ControlVariational Inference | —Unverified | 0 |
| Nonparametric Automatic Differentiation Variational Inference with Spline Approximation | Mar 10, 2024 | Variational Inference | —Unverified | 0 |
| Non-parametric Power-law Data Clustering | Jun 13, 2013 | ClusteringVariational Inference | —Unverified | 0 |
| Nonparametric Variational Auto-encoders for Hierarchical Representation Learning | Mar 21, 2017 | ClusteringRepresentation Learning | —Unverified | 0 |
| Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes | Sep 8, 2018 | Gaussian ProcessesStochastic Optimization | —Unverified | 0 |
| No-Regret Generative Modeling via Parabolic Monge-Ampère PDE | Apr 12, 2025 | Variational Inference | —Unverified | 0 |
