| Factorized Fusion Shrinkage for Dynamic Relational Data | Sep 30, 2022 | Variational Inference | CodeCode Available | 0 |
| Automatic differentiation is no panacea for phylogenetic gradient computation | Nov 3, 2022 | Variational Inference | CodeCode Available | 0 |
| Differentiable Random Partition Models | May 26, 2023 | Variational Inference | CodeCode Available | 0 |
| OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation | Aug 17, 2020 | Variational Inference | CodeCode Available | 0 |
| A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model | Nov 22, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Variational Sequential Monte Carlo | May 31, 2017 | Bayesian InferenceState Space Models | CodeCode Available | 0 |
| Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference | Oct 5, 2018 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
| Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam | Jun 13, 2018 | Reinforcement LearningStochastic Optimization | CodeCode Available | 0 |
| Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes | Nov 8, 2021 | Gaussian ProcessesVariable Selection | CodeCode Available | 0 |
| Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations | Jun 7, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Automated Creative Optimization for E-Commerce Advertising | Feb 28, 2021 | AutoMLClick-Through Rate Prediction | CodeCode Available | 0 |
| An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks | Jun 25, 2019 | Variational Inference | CodeCode Available | 0 |
| Tractable Function-Space Variational Inference in Bayesian Neural Networks | Dec 28, 2023 | Bayesian InferenceMedical Diagnosis | CodeCode Available | 0 |
| SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder | Mar 26, 2024 | DenoisingImage Denoising | CodeCode Available | 0 |
| Sequential Function-Space Variational Inference via Gaussian Mixture Approximation | Mar 10, 2025 | Continual LearningVariational Inference | CodeCode Available | 0 |
| A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification | Jan 2, 2019 | General Classificationimage-classification | CodeCode Available | 0 |
| Online Estimation and Community Detection of Network Point Processes for Event Streams | Sep 3, 2020 | Community DetectionOnline Community Detection | CodeCode Available | 0 |
| Fast Non-Bayesian Poisson Factorization for Implicit-Feedback Recommendations | Nov 5, 2018 | Recommendation SystemsVariational Inference | CodeCode Available | 0 |
| Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference | Mar 15, 2024 | Variational Inference | CodeCode Available | 0 |
| Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature | Mar 9, 2023 | Active LearningBayesian Inference | CodeCode Available | 0 |
| Sequential Neural Models with Stochastic Layers | May 24, 2016 | Music ModelingVariational Inference | CodeCode Available | 0 |
| Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning | Sep 29, 2015 | BIG-bench Machine Learningreinforcement-learning | CodeCode Available | 0 |
| Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models | Feb 26, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Online Variational Sequential Monte Carlo | Dec 19, 2023 | parameter estimationState Space Models | CodeCode Available | 0 |
| Training Bayesian Neural Networks with Sparse Subspace Variational Inference | Feb 16, 2024 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
