| Deep Gaussian Processes for Multi-fidelity Modeling | Mar 18, 2019 | Bayesian OptimizationDecision Making | CodeCode Available | 0 | 5 |
| Deep Gaussian Processes for Air Quality Inference | Nov 18, 2022 | Air Quality InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| Rényi Divergence Variational Inference | Feb 6, 2016 | Variational Inference | CodeCode Available | 0 | 5 |
| Reparameterization Gradient for Non-differentiable Models | Jun 1, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility | Jul 11, 2022 | Face RecognitionFairness | CodeCode Available | 0 | 5 |
| Factorized Fusion Shrinkage for Dynamic Relational Data | Sep 30, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Rethinking Sharpness-Aware Minimization as Variational Inference | Oct 19, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Deep Gaussian Markov Random Fields | Feb 18, 2020 | Variational Inference | CodeCode Available | 0 | 5 |
| Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation | Oct 1, 2024 | EEGElectromyography (EMG) | CodeCode Available | 0 | 5 |
| Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs) | Jun 9, 2016 | Document ClassificationVariational Inference | CodeCode Available | 0 | 5 |
| Risk-sensitive control as inference with Rényi divergence | Nov 4, 2024 | Reinforcement Learning (RL)Variational Inference | CodeCode Available | 0 | 5 |
| Generalized Variational Inference: Three arguments for deriving new Posteriors | Apr 3, 2019 | Bayesian InferenceGaussian Processes | 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 |
| Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes | Nov 8, 2021 | Gaussian ProcessesVariable Selection | CodeCode Available | 0 | 5 |
| Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning | May 12, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 | 5 |
| Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows | Oct 31, 2023 | Variational Inference | CodeCode Available | 0 | 5 |
| An Efficient Difference-of-Convex Solver for Privacy Funnel | Mar 2, 2024 | Variational Inference | CodeCode Available | 0 | 5 |
| Gaussian Process-Gated Hierarchical Mixtures of Experts | Feb 9, 2023 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Generating Neural Networks with Neural Networks | Jan 6, 2018 | DiversityVariational Inference | CodeCode Available | 0 | 5 |
| Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes | Jun 22, 2019 | Gaussian ProcessesTime Series | CodeCode Available | 0 | 5 |
| ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems | May 8, 2024 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 | 5 |
| Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference | Jun 26, 2025 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 | 5 |
| Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogates | Feb 26, 2025 | EpidemiologyVariational Inference | CodeCode Available | 0 | 5 |
| Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis | Dec 4, 2024 | Variational Inference | CodeCode Available | 0 | 5 |
| Function Space Particle Optimization for Bayesian Neural Networks | Feb 26, 2019 | Reinforcement LearningVariational Inference | CodeCode Available | 0 | 5 |
