| Easy Variational Inference for Categorical Models via an Independent Binary Approximation | May 31, 2022 | Variational Inference | CodeCode Available | 0 |
| Discretely Relaxing Continuous Variables for tractable Variational Inference | Dec 1, 2018 | Variational Inference | CodeCode Available | 0 |
| Scalable Variational Causal Discovery Unconstrained by Acyclicity | Jul 6, 2024 | Causal Discoveryvalid | CodeCode Available | 0 |
| A Variational Edge Partition Model for Supervised Graph Representation Learning | Feb 7, 2022 | ClassificationGraph Representation Learning | CodeCode Available | 0 |
| Effective Estimation of Deep Generative Language Models | Apr 17, 2019 | Bayesian OptimisationLanguage Modelling | CodeCode Available | 0 |
| Efficient Alternating Minimization Solvers for Wyner Multi-View Unsupervised Learning | Mar 28, 2023 | Computational EfficiencyRepresentation Learning | CodeCode Available | 0 |
| Scalable Variational Inference for Dynamical Systems | May 19, 2017 | Numerical IntegrationVariational Inference | CodeCode Available | 0 |
| Discretely Indexed Flows | Apr 4, 2022 | Density EstimationVariational Inference | CodeCode Available | 0 |
| Topic Modeling on Health Journals with Regularized Variational Inference | Jan 15, 2018 | Topic ModelsVariational Inference | CodeCode Available | 0 |
| Approximate Message Passing for Bayesian Neural Networks | Jan 26, 2025 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
