| Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems | Dec 1, 2018 | Representation LearningVariational Inference | —Unverified | 0 |
| Distributed Multitask Reinforcement Learning with Quadratic Convergence | Dec 1, 2018 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence | Dec 1, 2018 | Variational Inference | —Unverified | 0 |
| Provable Variational Inference for Constrained Log-Submodular Models | Dec 1, 2018 | Variational Inference | —Unverified | 0 |
| Discretely Relaxing Continuous Variables for tractable Variational Inference | Dec 1, 2018 | Variational Inference | CodeCode Available | 0 |
| Point process latent variable models of larval zebrafish behavior | Dec 1, 2018 | Variational Inference | —Unverified | 0 |
| Coupled Variational Bayes via Optimization Embedding | Dec 1, 2018 | Variational Inference | CodeCode Available | 0 |
| Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference | Nov 27, 2018 | Activity RecognitionBayesian Inference | —Unverified | 0 |
| Partitioned Variational Inference: A unified framework encompassing federated and continual learning | Nov 27, 2018 | Continual LearningDistributed Computing | —Unverified | 0 |
| Deep Bayesian Self-Training | Nov 26, 2018 | ClusteringVariational Inference | CodeCode Available | 0 |