| CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models | Jan 13, 2020 | ClusteringTopic Models | CodeCode Available | 0 |
| Lifted Hybrid Variational Inference | Jan 8, 2020 | Variational Inference | CodeCode Available | 0 |
| Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering | Jan 7, 2020 | ClusteringMissing Values | —Unverified | 0 |
| Variational Inference for Sequential Data with Future Likelihood Estimates | Jan 1, 2020 | Variational Inference | —Unverified | 0 |
| Efficient non-conjugate Gaussian process factor models for spike countdata using polynomial approximations | Jan 1, 2020 | Variational Inference | —Unverified | 0 |
| All in the (Exponential) Family: Information Geometry and Thermodynamic Variational Inference | Jan 1, 2020 | AllScheduling | —Unverified | 0 |
| On Implicit Regularization in -VAEs | Jan 1, 2020 | Variational Inference | —Unverified | 0 |
| Variance Reduction and Quasi-Newton for Particle-Based Variational Inference | Jan 1, 2020 | Bayesian InferenceRiemannian optimization | —Unverified | 0 |
| Variational Label Enhancement | Jan 1, 2020 | Multi-Label LearningVariational Inference | —Unverified | 0 |
| Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics | Jan 1, 2020 | Variational Inference | —Unverified | 0 |
