| Bernstein Flows for Flexible Posteriors in Variational Bayes | Feb 11, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes | Jun 23, 2022 | Point ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs | Sep 14, 2022 | Data IntegrationDimensionality Reduction | CodeCode Available | 0 | 5 |
| Modular Deep Probabilistic Programming | May 1, 2019 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 0 | 5 |
| Enhanced Variational Inference with Dyadic Transformation | Jan 30, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models | Jun 28, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Coupled Variational Bayes via Optimization Embedding | Dec 1, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| Coupled Variational Recurrent Collaborative Filtering | Jun 11, 2019 | Collaborative FilteringRecommendation Systems | CodeCode Available | 0 | 5 |
| Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding | Feb 23, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Energy-Inspired Models: Learning with Sampler-Induced Distributions | Oct 31, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
