| Scalable Bayesian Inference for Excitatory Point Process Networks | Jul 12, 2015 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Variational Bayesian Context-aware Representation for Grocery Recommendation | Sep 17, 2019 | Variational Inference | CodeCode Available | 0 |
| Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference | Jun 26, 2025 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach | Jul 21, 2020 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 0 |
| Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs | Sep 14, 2022 | Data IntegrationDimensionality Reduction | CodeCode Available | 0 |
| Scalable Bayesian Preference Learning for Crowds | Dec 4, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Modular Deep Probabilistic Programming | May 1, 2019 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 0 |
| Modulating Scalable Gaussian Processes for Expressive Statistical Learning | Aug 29, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis | Dec 4, 2024 | Variational Inference | CodeCode Available | 0 |
| Variational Bayesian Decision-making for Continuous Utilities | Feb 2, 2019 | Decision MakingVariational Inference | CodeCode Available | 0 |
| Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation | Oct 1, 2024 | EEGElectromyography (EMG) | CodeCode Available | 0 |
| Variational Inference for Longitudinal Data Using Normalizing Flows | Mar 24, 2023 | ImputationVariational Inference | CodeCode Available | 0 |
| Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes | Jun 12, 2019 | Activity RecognitionAudio Classification | CodeCode Available | 0 |
| Scalable Factorized Hierarchical Variational Autoencoder Training | Apr 9, 2018 | DisentanglementHyperparameter Optimization | CodeCode Available | 0 |
| Variational Inference with Mixtures of Isotropic Gaussians | Jun 16, 2025 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods | Sep 14, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation | May 23, 2019 | Bayesian InferenceData Augmentation | CodeCode Available | 0 |
| Compact Bayesian Neural Networks via pruned MCMC sampling | Jan 12, 2025 | Network PruningUncertainty Quantification | CodeCode Available | 0 |
| The Shrinkage-Delinkage Trade-off: An Analysis of Factorized Gaussian Approximations for Variational Inference | Feb 17, 2023 | Variational Inference | CodeCode Available | 0 |
| Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition | Oct 19, 2017 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models | Aug 28, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| A Joint Learning Model with Variational Interaction for Multilingual Program Translation | Aug 25, 2024 | DisentanglementTranslation | CodeCode Available | 0 |
| Scalable Generalized Dynamic Topic Models | Mar 21, 2018 | Event DetectionGaussian Processes | CodeCode Available | 0 |
| The Thermodynamic Variational Objective | Jun 28, 2019 | Variational Inference | CodeCode Available | 0 |
