| Heron Inference for Bayesian Graphical Models | Feb 19, 2018 | Computational EfficiencyVariational Inference | CodeCode Available | 0 |
| Heterogeneous Multi-output Gaussian Process Prediction | May 19, 2018 | Gaussian ProcessesPrediction | CodeCode Available | 0 |
| Variational Bayesian Optimal Experimental Design | Mar 13, 2019 | Experimental DesignVariational Inference | CodeCode Available | 0 |
| Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios | Jun 29, 2022 | State Space ModelsTime Series | CodeCode Available | 0 |
| PhyloGFN: Phylogenetic inference with generative flow networks | Oct 12, 2023 | Variational Inference | CodeCode Available | 0 |
| Physics-Constrained Predictive Molecular Latent Space Discovery with Graph Scattering Variational Autoencoder | Sep 29, 2020 | Drug Discoverymolecular representation | CodeCode Available | 0 |
| Boosting Black Box Variational Inference | Jun 6, 2018 | Variational Inference | CodeCode Available | 0 |
| Hierarchical Importance Weighted Autoencoders | May 13, 2019 | Variational Inference | CodeCode Available | 0 |
| A Targeted Accuracy Diagnostic for Variational Approximations | Feb 24, 2023 | Computational EfficiencyDiagnostic | CodeCode Available | 0 |
| Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed Stability | Jun 9, 2019 | Variational Inference | CodeCode Available | 0 |
| Deep Bayesian Structure Networks | Sep 25, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 |
| Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration | Oct 26, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Piecewise Deterministic Markov Processes for Bayesian Neural Networks | Feb 17, 2023 | Variational Inference | CodeCode Available | 0 |
| Hierarchical Variational Imitation Learning of Control Programs | Dec 29, 2019 | Imitation LearningVariational Inference | CodeCode Available | 0 |
| Hierarchical Variational Memory for Few-shot Learning Across Domains | Dec 15, 2021 | Few-Shot LearningVariational Inference | CodeCode Available | 0 |
| Hierarchical Variational Models | Nov 7, 2015 | Computational EfficiencyVariational Inference | CodeCode Available | 0 |
| Deep Bayesian Self-Training | Nov 26, 2018 | ClusteringVariational Inference | CodeCode Available | 0 |
| Piecewise Latent Variables for Neural Variational Text Processing | Dec 1, 2016 | Text GenerationVariational Inference | CodeCode Available | 0 |
| High Dimensional Causal Inference with Variational Backdoor Adjustment | Oct 9, 2023 | Causal InferenceVariational Inference | CodeCode Available | 0 |
| High-dimensional neural spike train analysis with generalized count linear dynamical systems | Dec 1, 2015 | Variational Inference | CodeCode Available | 0 |
| Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box | Apr 11, 2023 | Probabilistic ProgrammingStochastic Optimization | CodeCode Available | 0 |
| Black box variational inference for state space models | Nov 23, 2015 | State Space ModelsTime Series | CodeCode Available | 0 |
| Learning document embeddings along with their uncertainties | Aug 20, 2019 | Topic ModelsVariational Inference | CodeCode Available | 0 |
| Variational Leakage: The Role of Information Complexity in Privacy Leakage | Jun 5, 2021 | AttributeFace Recognition | CodeCode Available | 0 |
| Black-box Variational Inference for Stochastic Differential Equations | Feb 9, 2018 | Variational Inference | CodeCode Available | 0 |