| Refined α-Divergence Variational Inference via Rejection Sampling | Sep 17, 2019 | Variational Inference | —Unverified | 0 |
| Variational Bayesian Context-aware Representation for Grocery Recommendation | Sep 17, 2019 | Variational Inference | CodeCode Available | 0 |
| Compositional uncertainty in deep Gaussian processes | Sep 17, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods | Sep 14, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Reconstructing continuous distributions of 3D protein structure from cryo-EM images | Sep 11, 2019 | 3D Volumetric ReconstructionClustering | CodeCode Available | 0 |
| Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory | Sep 9, 2019 | Variational Inference | CodeCode Available | 0 |
| Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation | Sep 6, 2019 | Generalization BoundsVariational Inference | —Unverified | 0 |
| Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations | Sep 5, 2019 | DisentanglementVariational Inference | —Unverified | 0 |
| Latent Gaussian process with composite likelihoods and numerical quadrature | Sep 4, 2019 | ClusteringDimensionality Reduction | —Unverified | 0 |
| On the Expressiveness of Approximate Inference in Bayesian Neural Networks | Sep 2, 2019 | Active LearningBayesian Inference | CodeCode Available | 0 |
