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| A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks | Dec 1, 2013 | Link PredictionVariational Inference | —Unverified | 0 |
| Accelerating Stochastic Probabilistic Inference | Mar 15, 2022 | Second-order methodsStochastic Optimization | —Unverified | 0 |
| A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis | Jan 22, 2020 | Computational EfficiencyVariational Inference | —Unverified | 0 |
| Variational inference of fractional Brownian motion with linear computational complexity | Mar 15, 2022 | Bayesian InferenceGraph Neural Network | —Unverified | 0 |
| Comparing the quality of neural network uncertainty estimates for classification problems | Aug 11, 2023 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Complementary Information Mutual Learning for Multimodality Medical Image Segmentation | Jan 5, 2024 | Image SegmentationInductive Bias | —Unverified | 0 |
| A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization | Jan 30, 2025 | Bayesian OptimizationVariational Inference | —Unverified | 0 |
| Blind Image Denoising via Dependent Dirichlet Process Tree | Jan 13, 2016 | DenoisingImage Denoising | —Unverified | 0 |
| A Rule for Gradient Estimator Selection, with an Application to Variational Inference | Nov 5, 2019 | Variational Inference | —Unverified | 0 |
