| A Variational Edge Partition Model for Supervised Graph Representation Learning | Feb 7, 2022 | ClassificationGraph Representation Learning | CodeCode Available | 0 | 5 |
| Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory | Sep 9, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Learning to infer in recurrent biological networks | Jun 18, 2020 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers | Aug 31, 2020 | Bayesian InferenceData Summarization | CodeCode Available | 0 | 5 |
| Online Estimation and Community Detection of Network Point Processes for Event Streams | Sep 3, 2020 | Community DetectionOnline Community Detection | CodeCode Available | 0 | 5 |
| Online Variational Sequential Monte Carlo | Dec 19, 2023 | parameter estimationState Space Models | CodeCode Available | 0 | 5 |
| Approximation Based Variance Reduction for Reparameterization Gradients | Jul 29, 2020 | Variational Inference | CodeCode Available | 0 | 5 |
| DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks | Nov 2, 2021 | Survival AnalysisSurvival Prediction | CodeCode Available | 0 | 5 |
| DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora | Nov 3, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| A Variational Time Series Feature Extractor for Action Prediction | Jul 6, 2018 | Action RecognitionPrediction | CodeCode Available | 0 | 5 |
| Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical Systems | Jul 5, 2018 | Representation LearningVariational Inference | CodeCode Available | 0 | 5 |
| Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming | Sep 30, 2018 | Probabilistic ProgrammingRepresentation Learning | CodeCode Available | 0 | 5 |
| Factorized Fusion Shrinkage for Dynamic Relational Data | Sep 30, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| A General Method for Amortizing Variational Filtering | Nov 13, 2018 | Inference OptimizationVariational Inference | 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 |
| Flexible Amortized Variational Inference in qBOLD MRI | Mar 11, 2022 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 | 5 |
| MixFlows: principled variational inference via mixed flows | May 16, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Efficient Training of Probabilistic Neural Networks for Survival Analysis | Apr 9, 2024 | Bayesian InferenceComputational Efficiency | CodeCode Available | 0 | 5 |
| Estimating Buildings' Parameters over Time Including Prior Knowledge | Jan 9, 2019 | Causal Inferenceparameter estimation | CodeCode Available | 0 | 5 |
| Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables | Jun 11, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Estimating treatment effects from single-arm trials via latent-variable modeling | Nov 6, 2023 | Variational Inference | CodeCode Available | 0 | 5 |
| Bayesian Semi-supervised Learning with Graph Gaussian Processes | Sep 12, 2018 | Active LearningGaussian Processes | CodeCode Available | 0 | 5 |
| Adaptive Robust Learning using Latent Bernoulli Variables | Dec 1, 2023 | Variational Inference | CodeCode Available | 0 | 5 |
| Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter | Oct 17, 2020 | DiversityState Space Models | CodeCode Available | 0 | 5 |
| Approximate Message Passing for Bayesian Neural Networks | Jan 26, 2025 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 | 5 |
