| Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables | Jun 11, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models | Jun 10, 2019 | Bayesian InferenceDiscrete Choice Models | —Unverified | 0 |
| Stochastic Neural Network with Kronecker Flow | Jun 10, 2019 | Multi-Armed BanditsThompson Sampling | —Unverified | 0 |
| Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed Stability | Jun 9, 2019 | Variational Inference | CodeCode Available | 0 |
| Note on the bias and variance of variational inference | Jun 9, 2019 | Variational Inference | CodeCode Available | 0 |
| A Variant of Gaussian Process Dynamical Systems | Jun 9, 2019 | Variational Inference | —Unverified | 0 |
| Streaming Adaptive Nonparametric Variational Autoencoder | Jun 7, 2019 | ClusteringFeature Engineering | —Unverified | 0 |
| Sparse Variational Inference: Bayesian Coresets from Scratch | Jun 7, 2019 | Variational Inference | CodeCode Available | 0 |
| Semi-supervised Stochastic Multi-Domain Learning using Variational Inference | Jun 7, 2019 | Domain AdaptationVariational Inference | —Unverified | 0 |
| Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations | Jun 7, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift | Jun 7, 2019 | Domain AdaptationDomain Generalization | CodeCode Available | 0 |
| Structured Variational Inference in Continuous Cox Process Models | Jun 7, 2019 | Numerical IntegrationUncertainty Quantification | CodeCode Available | 0 |
| Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations | Jun 7, 2019 | Variational Inference | —Unverified | 0 |
| Amortized Inference of Variational Bounds for Learning Noisy-OR | Jun 6, 2019 | Variational Inference | —Unverified | 0 |
| Practical Deep Learning with Bayesian Principles | Jun 6, 2019 | Continual LearningData Augmentation | CodeCode Available | 0 |
| Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings | Jun 5, 2019 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 |
| Streaming Variational Monte Carlo | Jun 4, 2019 | Gaussian ProcessesState Space Models | CodeCode Available | 0 |
| Universal Boosting Variational Inference | Jun 4, 2019 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
| MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning | Jun 3, 2019 | Bayesian OptimisationBIG-bench Machine Learning | —Unverified | 0 |
| Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process | Jun 1, 2019 | Document ClassificationGeneral Classification | —Unverified | 0 |
| Neural Likelihoods for Multi-Output Gaussian Processes | May 31, 2019 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder | May 31, 2019 | Variational Inference | —Unverified | 0 |
| Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks | May 30, 2019 | Bayesian InferenceMeta-Learning | CodeCode Available | 0 |
| Efficient EM-Variational Inference for Hawkes Process | May 29, 2019 | Variational Inference | —Unverified | 0 |
| Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference | May 29, 2019 | Spike SortingVariational Inference | CodeCode Available | 0 |
