| PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons | Jun 16, 2020 | Generalization BoundsVariational Inference | —Unverified | 0 |
| Approximate Inference for Spectral Mixture Kernel | Jun 12, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks | Jun 11, 2020 | Variational Inference | —Unverified | 0 |
| Learning to Learn Kernels with Variational Random Features | Jun 11, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 |
| Recurrent Flow Networks: A Recurrent Latent Variable Model for Density Modelling of Urban Mobility | Jun 9, 2020 | Variational Inference | CodeCode Available | 0 |
| Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models | Jun 8, 2020 | State Space ModelsVariational Inference | —Unverified | 0 |
| Bayesian Neural Network via Stochastic Gradient Descent | Jun 4, 2020 | regressionVariational Inference | —Unverified | 0 |
| A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning | Jun 3, 2020 | Representation LearningSelf-Supervised Learning | —Unverified | 0 |
| Variational Inference and Learning of Piecewise-linear Dynamical Systems | Jun 2, 2020 | Head Pose EstimationModel Selection | —Unverified | 0 |
| From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models | Jun 1, 2020 | Variational Inference | —Unverified | 0 |
