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| Gaussian Process Latent Variable Flows for Massively Missing Data | Nov 23, 2020 | Dimensionality ReductionGaussian Processes | —Unverified | 0 |
| Gaussian Density Parametrization Flow: Particle and Stochastic Approaches | Nov 23, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Parametric Bootstrap Ensembles as Variational Inference | Nov 23, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations | Nov 21, 2020 | 4kSemi-Supervised Image Classification | CodeCode Available | 1 |
| Variational Laplace for Bayesian neural networks | Nov 20, 2020 | BenchmarkingVariational Inference | —Unverified | 0 |
| Online Learning Based Risk-Averse Stochastic MPC of Constrained Linear Uncertain Systems | Nov 20, 2020 | Model Predictive ControlVariational Inference | —Unverified | 0 |
| Understanding Variational Inference in Function-Space | Nov 18, 2020 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Recursive Inference for Variational Autoencoders | Nov 17, 2020 | Variational Inference | —Unverified | 0 |
| Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee | Nov 15, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
