| Learning Deep Generative Models with Annealed Importance Sampling | Jun 12, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Factorized Fusion Shrinkage for Dynamic Relational Data | Sep 30, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Bayesian Nonparametrics for Offline Skill Discovery | Feb 9, 2022 | Imitation Learningreinforcement-learning | CodeCode Available | 0 | 5 |
| A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification | Jan 2, 2019 | General Classificationimage-classification | CodeCode Available | 0 | 5 |
| Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling | May 19, 2017 | Variational Inference | CodeCode Available | 0 | 5 |
| Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization | Dec 6, 2017 | Variational Inference | CodeCode Available | 0 | 5 |
| Manifold Gaussian Variational Bayes on the Precision Matrix | Oct 26, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Bayesian Nonlinear Support Vector Machines for Big Data | Jul 18, 2017 | Variational Inference | CodeCode Available | 0 | 5 |
| Estimating treatment effects from single-arm trials via latent-variable modeling | Nov 6, 2023 | Variational Inference | CodeCode Available | 0 | 5 |
| Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming | Sep 30, 2018 | Probabilistic ProgrammingRepresentation Learning | CodeCode Available | 0 | 5 |
