| Importance Weighted Structure Learning for Scene Graph Generation | May 14, 2022 | Graph GenerationScene Graph Generation | —Unverified | 0 |
| Geometric variational inference | May 21, 2021 | Variational Inference | —Unverified | 0 |
| Comparing the quality of neural network uncertainty estimates for classification problems | Aug 11, 2023 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Improved Gradient Estimators for Stochastic Discrete Variables | Sep 27, 2018 | Variational Inference | —Unverified | 0 |
| Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework | Jul 20, 2024 | Hyperspectral UnmixingVariational Inference | —Unverified | 0 |
| GFlowOut: Dropout with Generative Flow Networks | Oct 24, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Global Approximate Inference via Local Linearisation for Temporal Gaussian Processes | Oct 16, 2019 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization | Jan 30, 2025 | Bayesian OptimizationVariational Inference | —Unverified | 0 |
| Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference | Mar 18, 2022 | Graph EmbeddingImage Inpainting | —Unverified | 0 |
| Variational Hyper-Encoding Networks | May 18, 2020 | DecoderDensity Estimation | —Unverified | 0 |
