| Bayesian model and dimension reduction for uncertainty propagation: applications in random media | Nov 7, 2017 | Dimensionality ReductionVariational Inference | —Unverified | 0 |
| Convolutional Normalizing Flows | Nov 7, 2017 | Variational Inference | CodeCode Available | 0 |
| Structured Variational Inference for Coupled Gaussian Processes | Nov 3, 2017 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation | Nov 2, 2017 | Autonomous DrivingVariational Inference | CodeCode Available | 0 |
| Variational Inference of Disentangled Latent Concepts from Unlabeled Observations | Nov 2, 2017 | DisentanglementVariational Inference | —Unverified | 0 |
| Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression | Nov 1, 2017 | GPRregression | —Unverified | 0 |
| Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks | Oct 30, 2017 | Variational Inference | —Unverified | 0 |
| Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection | Oct 30, 2017 | Bayesian InferenceCommunity Detection | —Unverified | 0 |
| Reparameterizing the Birkhoff Polytope for Variational Permutation Inference | Oct 26, 2017 | Bayesian InferenceCombinatorial Optimization | —Unverified | 0 |
| Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition | Oct 19, 2017 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
