| Entity Abstraction in Visual Model-Based Reinforcement Learning | Oct 28, 2019 | modelModel-based Reinforcement Learning | CodeCode Available | 0 |
| Implicit Posterior Variational Inference for Deep Gaussian Processes | Oct 26, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework | Oct 26, 2019 | Knowledge DistillationVariational Inference | —Unverified | 0 |
| Stabilising priors for robust Bayesian deep learning | Oct 23, 2019 | Deep LearningVariational Inference | —Unverified | 0 |
| Sparse Orthogonal Variational Inference for Gaussian Processes | Oct 23, 2019 | Gaussian ProcessesMulti-class Classification | CodeCode Available | 1 |
| Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales | Oct 23, 2019 | MuJoCoVariational Inference | CodeCode Available | 0 |
| Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems | Oct 21, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Single Episode Policy Transfer in Reinforcement Learning | Oct 17, 2019 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |
| Rapid Model Comparison by Amortizing Across Models | Oct 16, 2019 | modelTopic Models | CodeCode Available | 0 |
| Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models | Oct 16, 2019 | Deep LearningDimensionality Reduction | —Unverified | 0 |
| Distributional Bayesian optimisation for variational inference on black-box simulators | Oct 16, 2019 | Bayesian OptimisationVariational Inference | CodeCode Available | 0 |
| Structured Semi-Implicit Variational Inference | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Challenges in Computing and Optimizing Upper Bounds of Marginal Likelihood based on Chi-Square Divergences | Oct 16, 2019 | DiagnosticVariational Inference | —Unverified | 0 |
| Pseudo-Bayesian Learning via Direct Loss Minimization with Applications to Sparse Gaussian Process Models | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Scalable Gradients and Variational Inference for Stochastic Differential Equations | Oct 16, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Optimal Transport for Distribution Adaptation in Bayesian Hilbert Maps | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Stein Variational Gradient Descent for Approximate Bayesian Computation | Oct 16, 2019 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Newtonian Monte Carlo: a second-order gradient method for speeding up MCMC | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Global Approximate Inference via Local Linearisation for Temporal Gaussian Processes | Oct 16, 2019 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Interpretable User Models via Decision-rule Gaussian Processes: Preliminary Results on Energy Storage | Oct 16, 2019 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Langevin Dynamics as Nonparametric Variational Inference | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Bijectors.jl: Flexible transformations for probability distributions | Oct 16, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Sequential Learning for Dirichlet Process Mixtures | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Parametric Gaussian Process Regressors | Oct 16, 2019 | regressionVariational Inference | —Unverified | 0 |
| Regularized Sparse Gaussian Processes | Oct 13, 2019 | Facial Expression Recognition (FER)Gaussian Processes | —Unverified | 0 |
