| Introducing Routing Uncertainty in Capsule Networks | Dec 1, 2020 | ObjectVariational Inference | —Unverified | 0 |
| Improved Gradient Estimators for Stochastic Discrete Variables | Sep 27, 2018 | Variational Inference | —Unverified | 0 |
| Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing | Jun 9, 2025 | Speaker VerificationVariational Inference | —Unverified | 0 |
| Interpretable Dynamics Models for Data-Efficient Reinforcement Learning | Jul 10, 2019 | Model-based Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method | Mar 22, 2021 | continuous-controlContinuous Control | —Unverified | 0 |
| Structured Dropout Variational Inference for Bayesian Neural Networks | Feb 16, 2021 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| Control as Hybrid Inference | Jul 11, 2020 | continuous-controlContinuous Control | —Unverified | 0 |
| Automatic Variational Inference in Stan | Jun 10, 2015 | Bayesian InferenceProbabilistic Programming | —Unverified | 0 |
| An Introduction to Variational Inference | Aug 30, 2021 | Generative Adversarial NetworkVariational Inference | —Unverified | 0 |
| Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process | Dec 8, 2018 | Ensemble LearningModel Selection | —Unverified | 0 |
