| Proximity Variational Inference | May 24, 2017 | Variational Inference | CodeCode Available | 0 |
| Langevin Autoencoders for Learning Deep Latent Variable Models | Sep 15, 2022 | Image Generationvalid | CodeCode Available | 0 |
| Variational zero-inflated Gaussian processes with sparse kernels | Mar 13, 2018 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Stock Movement Prediction from Tweets and Historical Prices | Jul 1, 2018 | Feature EngineeringPrediction | CodeCode Available | 0 |
| A Stein variational Newton method | Jun 8, 2018 | Variational Inference | CodeCode Available | 0 |
| Laplace Matching for fast Approximate Inference in Latent Gaussian Models | May 7, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Efficient Training of Probabilistic Neural Networks for Survival Analysis | Apr 9, 2024 | Bayesian InferenceComputational Efficiency | CodeCode Available | 0 |
| Pyro: Deep Universal Probabilistic Programming | Oct 18, 2018 | GPUProbabilistic Programming | CodeCode Available | 0 |
| Bayesian Semi-supervised Learning with Graph Gaussian Processes | Sep 12, 2018 | Active LearningGaussian Processes | CodeCode Available | 0 |
| Stratification of patient trajectories using covariate latent variable models | Oct 27, 2016 | Variational Inference | CodeCode Available | 0 |
| Coupled Variational Bayes via Optimization Embedding | Dec 1, 2018 | Variational Inference | CodeCode Available | 0 |
| Latent Alignment and Variational Attention | Jul 10, 2018 | Hard AttentionMachine Translation | CodeCode Available | 0 |
| Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data | Mar 7, 2015 | DiversityGaussian Processes | CodeCode Available | 0 |
| Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures | Jan 1, 2024 | Outlier DetectionVariational Inference | CodeCode Available | 0 |
| Latent Intention Dialogue Models | May 29, 2017 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |
| Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification | Jan 4, 2022 | ClassificationData Augmentation | CodeCode Available | 0 |
| Quantized Variational Inference | Nov 4, 2020 | Variational Inference | CodeCode Available | 0 |
| Latent Network Estimation and Variable Selection for Compositional Data via Variational EM | Oct 25, 2020 | Variable SelectionVariational Inference | CodeCode Available | 0 |
| Latent Neural ODEs with Sparse Bayesian Multiple Shooting | Oct 7, 2022 | Variational Inference | CodeCode Available | 0 |
| Latent SDEs on Homogeneous Spaces | Jun 28, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| VIREL: A Variational Inference Framework for Reinforcement Learning | Nov 3, 2018 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |
| Latent variable model for high-dimensional point process with structured missingness | Feb 8, 2024 | DecoderGaussian Processes | CodeCode Available | 0 |
| Copula-like Variational Inference | Apr 15, 2019 | Variational Inference | CodeCode Available | 0 |
| Unsupervised Recurrent Neural Network Grammars | Apr 7, 2019 | Constituency Grammar InductionLanguage Modeling | CodeCode Available | 0 |
| Variational Inference based on Robust Divergences | Oct 18, 2017 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |