| Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical Systems | Jul 5, 2018 | Representation LearningVariational Inference | CodeCode Available | 0 |
| Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds | Jul 5, 2018 | DecoderVariational Inference | —Unverified | 0 |
| Quasi-Monte Carlo Variational Inference | Jul 4, 2018 | Variational Inference | —Unverified | 0 |
| Efficient Gradient-Free Variational Inference using Policy Search | Jul 1, 2018 | Efficient ExplorationVariational Inference | CodeCode Available | 0 |
| Variational Inference and Model Selection with Generalized Evidence Bounds | Jul 1, 2018 | Model SelectionVariational Inference | —Unverified | 0 |
| 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 |
| Deep State Space Models for Unconditional Word Generation | Jun 12, 2018 | State Space ModelsText Generation | —Unverified | 0 |
| A Structured Variational Autoencoder for Contextual Morphological Inflection | Jun 10, 2018 | Morphological InflectionVariational Inference | CodeCode Available | 0 |
| Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty | Jun 10, 2018 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| A Stein variational Newton method | Jun 8, 2018 | Variational Inference | CodeCode Available | 0 |
| Using Social Network Information in Bayesian Truth Discovery | Jun 8, 2018 | Variational Inference | —Unverified | 0 |
| Scalable Multi-Class Bayesian Support Vector Machines for Structured and Unstructured Data | Jun 7, 2018 | Active LearningGeneral Classification | —Unverified | 0 |
| A Spectral Approach to Gradient Estimation for Implicit Distributions | Jun 7, 2018 | Variational Inference | CodeCode Available | 0 |
| Finding Convincing Arguments Using Scalable Bayesian Preference Learning | Jun 6, 2018 | Active LearningVariational Inference | CodeCode Available | 0 |
| Boosting Black Box Variational Inference | Jun 6, 2018 | Variational Inference | CodeCode Available | 0 |
| Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference | Jun 5, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 |
