| Variational Inference and Deep Generative Models | Jul 1, 2018 | Machine TranslationNatural Language Inference | —Unverified | 0 |
| Structured Variationally Auto-encoded Optimization | Jul 1, 2018 | Bayesian OptimizationTransfer Learning | —Unverified | 0 |
| CRVI: Convex Relaxation for Variational Inference | Jul 1, 2018 | Inference Optimizationregression | —Unverified | 0 |
| Augment and Reduce: Stochastic Inference for Large Categorical Distributions | Jul 1, 2018 | General ClassificationRecommendation Systems | CodeCode Available | 0 |
| Stock Movement Prediction from Tweets and Historical Prices | Jul 1, 2018 | Feature EngineeringPrediction | CodeCode Available | 0 |
| Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data | Jul 1, 2018 | Variational Inference | —Unverified | 0 |
| Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees | Jun 26, 2018 | Gaussian Processesregression | —Unverified | 0 |
| Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference | Jun 15, 2018 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 |
| Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo | Jun 14, 2018 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam | Jun 13, 2018 | Reinforcement LearningStochastic Optimization | CodeCode Available | 0 |
