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| Bayesian Learning for Neural Networks: an algorithmic survey | Nov 21, 2022 | Bayesian InferenceSurvey | —Unverified | 0 | 0 |
| Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition | Dec 8, 2020 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | —Unverified | 0 | 0 |
| Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty | Jan 1, 2021 | image-classificationImage Classification | —Unverified | 0 | 0 |
| Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference | Mar 18, 2022 | Graph EmbeddingImage Inpainting | —Unverified | 0 | 0 |
| Bayesian Matrix Decomposition and Applications | Feb 18, 2023 | Variational Inference | —Unverified | 0 | 0 |
| Bayesian Metric Learning for Robust Training of Deep Models under Noisy Labels | Jan 1, 2021 | General ClassificationMetric Learning | —Unverified | 0 | 0 |
| Bayesian model and dimension reduction for uncertainty propagation: applications in random media | Nov 7, 2017 | Dimensionality ReductionVariational Inference | —Unverified | 0 | 0 |
| Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How | Sep 29, 2021 | Uncertainty QuantificationVariational Inference | —Unverified | 0 | 0 |
| Bayesian Model Selection via Mean-Field Variational Approximation | Dec 17, 2023 | modelModel Selection | —Unverified | 0 | 0 |
