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| Generalized Variational Continual Learning | Nov 24, 2020 | Continual LearningVariational Inference | —Unverified | 0 |
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| On the Inconsistency of Bayesian Inference for Misspecified Neural Networks | Nov 23, 2020 | Bayesian Inferenceregression | —Unverified | 0 |
| Rethinking Function-Space Variational Inference in Bayesian Neural Networks | Nov 23, 2020 | Variational Inference | —Unverified | 0 |
| Neural Linear Models with Functional Gaussian Process Priors | Nov 23, 2020 | Gaussian Processesregression | —Unverified | 0 |
| Variational Refinement for Importance SamplingUsing the Forward Kullback-Leibler Divergence | Nov 23, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Scalable Hybrid Hidden Markov Model with Gaussian Process Emission for Sequential Time-series Observations | Nov 23, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Marginal Likelihood Gradient for Bayesian Neural Networks | Nov 23, 2020 | Variational Inference | —Unverified | 0 |
| The Gaussian Process Latent Autoregressive Model | Nov 23, 2020 | DenoisingGaussian Processes | —Unverified | 0 |
