| Uncertainty-based Continual Learning with Adaptive Regularization | May 28, 2019 | Continual LearningReinforcement Learning | CodeCode Available | 0 |
| Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding | May 28, 2019 | ClusteringVariational Inference | —Unverified | 0 |
| Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition | May 28, 2019 | Audio ClassificationBayesian Inference | CodeCode Available | 0 |
| Walsh-Hadamard Variational Inference for Bayesian Deep Learning | May 27, 2019 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Variational Bayes: A report on approaches and applications | May 26, 2019 | Bayesian InferenceContinual Learning | —Unverified | 0 |
| A Flexible Generative Framework for Graph-based Semi-supervised Learning | May 26, 2019 | Missing LabelsVariational Inference | CodeCode Available | 0 |
| Variational Inference for Sparse Gaussian Process Modulated Hawkes Process | May 25, 2019 | Model OptimizationModel Selection | CodeCode Available | 0 |
| Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit | May 23, 2019 | Variational Inference | —Unverified | 0 |
| Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation | May 23, 2019 | Bayesian InferenceData Augmentation | CodeCode Available | 0 |
| Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders | May 21, 2019 | Variational Inference | —Unverified | 0 |
| Leveraging Bayesian Analysis To Improve Accuracy of Approximate Models | May 20, 2019 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| MaxEntropy Pursuit Variational Inference | May 20, 2019 | Continual LearningVariational Inference | —Unverified | 0 |
| Efficient Optimization of Loops and Limits with Randomized Telescoping Sums | May 16, 2019 | Meta-LearningVariational Inference | CodeCode Available | 0 |
| Moment-Based Variational Inference for Markov Jump Processes | May 14, 2019 | Variational Inference | —Unverified | 0 |
| Deep Gaussian Processes with Importance-Weighted Variational Inference | May 14, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Hierarchical Importance Weighted Autoencoders | May 13, 2019 | Variational Inference | CodeCode Available | 0 |
| Variational inference for neural network matrix factorization and its application to stochastic blockmodeling | May 11, 2019 | Variational Inference | —Unverified | 0 |
| A Contrastive Divergence for Combining Variational Inference and MCMC | May 10, 2019 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
| Random Function Priors for Correlation Modeling | May 9, 2019 | Variational Inference | CodeCode Available | 0 |
| Importance Weighted Hierarchical Variational Inference | May 8, 2019 | Variational Inference | CodeCode Available | 0 |
| Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process | May 7, 2019 | Decision MakingManagement | —Unverified | 0 |
| A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders | May 3, 2019 | Speech EnhancementVariational Inference | —Unverified | 0 |
| Variational Domain Adaptation | May 1, 2019 | Bayesian InferenceDomain Adaptation | —Unverified | 0 |
| Modular Deep Probabilistic Programming | May 1, 2019 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 0 |
| Modeling the Long Term Future in Model-Based Reinforcement Learning | May 1, 2019 | Imitation LearningModel-based Reinforcement Learning | —Unverified | 0 |
