| Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming | Sep 30, 2018 | Probabilistic ProgrammingRepresentation Learning | CodeCode Available | 0 | 5 |
| Black Box Variational Inference | Dec 31, 2013 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 | 5 |
| CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models | Jan 13, 2020 | ClusteringTopic Models | CodeCode Available | 0 | 5 |
| Black-box Coreset Variational Inference | Nov 4, 2022 | Bayesian InferenceData Summarization | 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 |
| Amortized variational transdimensional inference | Jun 5, 2025 | Bayesian InferenceBayesian Optimization | CodeCode Available | 0 | 5 |
| Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models | Mar 13, 2017 | Variational Inference | CodeCode Available | 0 | 5 |
| Automated Creative Optimization for E-Commerce Advertising | Feb 28, 2021 | AutoMLClick-Through Rate Prediction | CodeCode Available | 0 | 5 |
| Manifold Gaussian Variational Bayes on the Precision Matrix | Oct 26, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Factorized Fusion Shrinkage for Dynamic Relational Data | Sep 30, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Bijectors.jl: Flexible transformations for probability distributions | Oct 16, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| BIISQ: Bayesian nonparametric discovery of Isoforms and Individual Specific Quantification | Mar 24, 2017 | DiversityVariational Inference | CodeCode Available | 0 | 5 |
| Bidirectional Convolutional Poisson Gamma Dynamical Systems | Dec 1, 2020 | Bayesian InferenceSentence | CodeCode Available | 0 | 5 |
| A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning | Jun 16, 2023 | Bayesian InferenceMeta-Learning | CodeCode Available | 0 | 5 |
| A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty | Jul 5, 2023 | modelVariational Inference | CodeCode Available | 0 | 5 |
| MixFlows: principled variational inference via mixed flows | May 16, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Content-based recommendations with Poisson factorization | Dec 1, 2014 | ArticlesRecommendation Systems | CodeCode Available | 0 | 5 |
| Context Selection for Embedding Models | Dec 1, 2017 | Recommendation SystemsVariational Inference | CodeCode Available | 0 | 5 |
| Adaptive RKHS Fourier Features for Compositional Gaussian Process Models | Jul 1, 2024 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Entity Abstraction in Visual Model-Based Reinforcement Learning | Oct 28, 2019 | modelModel-based Reinforcement Learning | CodeCode Available | 0 | 5 |
| Estimating Buildings' Parameters over Time Including Prior Knowledge | Jan 9, 2019 | Causal Inferenceparameter estimation | CodeCode Available | 0 | 5 |
| Estimating treatment effects from single-arm trials via latent-variable modeling | Nov 6, 2023 | Variational Inference | CodeCode Available | 0 | 5 |
| Function Space Particle Optimization for Bayesian Neural Networks | Feb 26, 2019 | Reinforcement LearningVariational Inference | CodeCode Available | 0 | 5 |
| Energy-Inspired Models: Learning with Sampler-Induced Distributions | Oct 31, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| End-to-End Pixel-Based Deep Active Inference for Body Perception and Action | Dec 28, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
