| Bayesian Neural Networks With Maximum Mean Discrepancy Regularization | Mar 2, 2020 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization | Oct 25, 2023 | Bayesian OptimizationVariational Inference | CodeCode Available | 0 | 5 |
| Finding the Perfect Fit: Applying Regression Models to ClimateBench v1.0 | Aug 23, 2023 | Benchmarkingregression | CodeCode Available | 0 | 5 |
| Flexible mean field variational inference using mixtures of non-overlapping exponential families | Oct 14, 2020 | Variable SelectionVariational Inference | CodeCode Available | 0 | 5 |
| Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study | Feb 2, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks | Jun 25, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization | Dec 8, 2020 | Density EstimationVariational Inference | CodeCode Available | 0 | 5 |
| A Flexible Generative Framework for Graph-based Semi-supervised Learning | May 26, 2019 | Missing LabelsVariational Inference | CodeCode Available | 0 | 5 |
| Finding Convincing Arguments Using Scalable Bayesian Preference Learning | Jun 6, 2018 | Active LearningVariational Inference | CodeCode Available | 0 | 5 |
| Flexible Tails for Normalizing Flows | Jun 22, 2024 | Density EstimationVariational Inference | CodeCode Available | 0 | 5 |
| Gaussian Process-Gated Hierarchical Mixtures of Experts | Feb 9, 2023 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature | Mar 9, 2023 | Active LearningBayesian Inference | CodeCode Available | 0 | 5 |
| Fast Non-Bayesian Poisson Factorization for Implicit-Feedback Recommendations | Nov 5, 2018 | Recommendation SystemsVariational Inference | CodeCode Available | 0 | 5 |
| Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes | Nov 8, 2021 | Gaussian ProcessesVariable Selection | CodeCode Available | 0 | 5 |
| Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam | Jun 13, 2018 | Reinforcement LearningStochastic Optimization | CodeCode Available | 0 | 5 |
| Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations | Jun 7, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models | Jul 12, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs | Mar 20, 2024 | Uncertainty Quantificationvalid | CodeCode Available | 0 | 5 |
| Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent Networks | May 24, 2025 | Meta Reinforcement Learningreinforcement-learning | CodeCode Available | 0 | 5 |
| Learning document embeddings along with their uncertainties | Aug 20, 2019 | Topic ModelsVariational Inference | CodeCode Available | 0 | 5 |
| Factorized Fusion Shrinkage for Dynamic Relational Data | Sep 30, 2022 | 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 |
| Estimating Buildings' Parameters over Time Including Prior Knowledge | Jan 9, 2019 | Causal Inferenceparameter estimation | CodeCode Available | 0 | 5 |
| MixFlows: principled variational inference via mixed flows | May 16, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
