| CRVI: Convex Relaxation for Variational Inference | Jul 1, 2018 | Inference Optimizationregression | —Unverified | 0 |
| Amplify Graph Learning for Recommendation via Sparsity Completion | Jun 27, 2024 | Collaborative FilteringGraph Learning | —Unverified | 0 |
| DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements | Nov 12, 2013 | Tensor DecompositionVariational Inference | —Unverified | 0 |
| Cyberattack Detection using Deep Generative Models with Variational Inference | May 31, 2018 | Variational Inference | —Unverified | 0 |
| Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference | Jun 5, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation | Feb 23, 2022 | Model SelectionVariational Inference | —Unverified | 0 |
| Adversarial Purification with the Manifold Hypothesis | Oct 26, 2022 | Adversarial PurificationAdversarial Robustness | —Unverified | 0 |
| Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation | Oct 17, 2020 | DecoderFew-Shot Learning | —Unverified | 0 |
| Analog Bayesian neural networks are insensitive to the shape of the weight distribution | Jan 9, 2025 | Variational Inference | —Unverified | 0 |
| A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods | May 24, 2023 | Deep LearningUncertainty Quantification | —Unverified | 0 |
