| Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods | Jan 15, 2020 | Second-order methodsVariational Inference | CodeCode Available | 0 |
| A General Method for Amortizing Variational Filtering | Nov 13, 2018 | Inference OptimizationVariational Inference | CodeCode Available | 0 |
| Noisy Natural Gradient as Variational Inference | Dec 6, 2017 | Active LearningEfficient Exploration | CodeCode Available | 0 |
| Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space | Jan 29, 2025 | Variational Inference | CodeCode Available | 0 |
| Manifold Gaussian Variational Bayes on the Precision Matrix | Oct 26, 2022 | Variational Inference | CodeCode Available | 0 |
| Semi-Amortized Variational Autoencoders | Feb 7, 2018 | Text GenerationVariational Inference | CodeCode Available | 0 |
| Semi-crowdsourced Clustering with Deep Generative Models | Oct 29, 2018 | ClusteringVariational Inference | CodeCode Available | 0 |
| Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization | Dec 6, 2017 | Variational Inference | CodeCode Available | 0 |
| Differentially Private Federated Variational Inference | Nov 24, 2019 | Bayesian InferenceFederated Learning | CodeCode Available | 0 |
| Towards Spatial Transcriptomics-guided Pathological Image Recognition with Batch-Agnostic Encoder | Mar 10, 2025 | Contrastive LearningVariational Inference | CodeCode Available | 0 |
| Semi-Implicit Graph Variational Auto-Encoders | Aug 19, 2019 | DecoderVariational Inference | CodeCode Available | 0 |
| Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing | Sep 3, 2023 | Knowledge TracingRepresentation Learning | CodeCode Available | 0 |
| Variational Inference with Vine Copulas: An efficient Approach for Bayesian Computer Model Calibration | Mar 28, 2020 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
| Nonparametric Deconvolution Models | Mar 17, 2020 | Variational Inference | CodeCode Available | 0 |
| Semi-Implicit Variational Inference | May 28, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Nonparametric Spherical Topic Modeling with Word Embeddings | Apr 1, 2016 | Topic ModelsVariational Inference | CodeCode Available | 0 |
| Semi-Implicit Variational Inference via Score Matching | Aug 19, 2023 | Bayesian InferenceDenoising | CodeCode Available | 0 |
| Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming | Sep 30, 2018 | Probabilistic ProgrammingRepresentation Learning | CodeCode Available | 0 |
| Differential equation and probability inspired graph neural networks for latent variable learning | Feb 28, 2022 | Stock Predictiontext-classification | CodeCode Available | 0 |
| Semi-parametric γ-ray modeling with Gaussian processes and variational inference | Oct 20, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| What type of inference is planning? | Jun 25, 2024 | Variational Inference | CodeCode Available | 0 |
| Towards Verified Stochastic Variational Inference for Probabilistic Programs | Jul 20, 2019 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 0 |
| Classification by Re-generation: Towards Classification Based on Variational Inference | Sep 10, 2018 | ClassificationDecoder | CodeCode Available | 0 |
| Note on the bias and variance of variational inference | Jun 9, 2019 | Variational Inference | CodeCode Available | 0 |
| GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature Guided DDPM | Jun 6, 2023 | Change DetectionDenoising | CodeCode Available | 0 |
