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| AutoBayes: A Compositional Framework for Generalized Variational Inference | Mar 24, 2025 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Computing with Categories in Machine Learning | Mar 7, 2023 | Transfer LearningVariational Inference | —Unverified | 0 |
| PGODE: Towards High-quality System Dynamics Modeling | Nov 11, 2023 | DisentanglementVariational Inference | —Unverified | 0 |
| Differentially Private Continual Learning | Feb 18, 2019 | Continual LearningVariational Inference | —Unverified | 0 |
| Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty | Jan 1, 2021 | image-classificationImage Classification | —Unverified | 0 |
| Gray-box inference for structured Gaussian process models | Sep 14, 2016 | Stochastic OptimizationStructured Prediction | —Unverified | 0 |
| Group Factor Analysis | Nov 21, 2014 | Variational Inference | —Unverified | 0 |
| A Non-negative VAE:the Generalized Gamma Belief Network | Aug 6, 2024 | Representation LearningVariational Inference | —Unverified | 0 |
| Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes | Jul 19, 2017 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
