| Understanding and Accelerating Particle-Based Variational Inference | Jul 4, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Augment and Reduce: Stochastic Inference for Large Categorical Distributions | Jul 1, 2018 | General ClassificationRecommendation Systems | CodeCode Available | 0 |
| Variational Inference and Model Selection with Generalized Evidence Bounds | Jul 1, 2018 | Model SelectionVariational Inference | —Unverified | 0 |
| CRVI: Convex Relaxation for Variational Inference | Jul 1, 2018 | Inference Optimizationregression | —Unverified | 0 |
| Efficient Gradient-Free Variational Inference using Policy Search | Jul 1, 2018 | Efficient ExplorationVariational Inference | CodeCode Available | 0 |
| Structured Variationally Auto-encoded Optimization | Jul 1, 2018 | Bayesian OptimizationTransfer Learning | —Unverified | 0 |
| Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data | Jul 1, 2018 | Variational Inference | —Unverified | 0 |
| Stock Movement Prediction from Tweets and Historical Prices | Jul 1, 2018 | Feature EngineeringPrediction | CodeCode Available | 0 |
| Variational Inference and Deep Generative Models | Jul 1, 2018 | Machine TranslationNatural Language Inference | —Unverified | 0 |
| Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees | Jun 26, 2018 | Gaussian Processesregression | —Unverified | 0 |
