| The Theory and Algorithm of Ergodic Inference | Nov 17, 2018 | BIG-bench Machine LearningVariational Inference | —Unverified | 0 |
| Projected BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights | Nov 16, 2018 | Variational Inference | —Unverified | 0 |
| Dependency Grammar Induction with a Neural Variational Transition-based Parser | Nov 14, 2018 | Dependency Grammar InductionVariational Inference | —Unverified | 0 |
| A General Method for Amortizing Variational Filtering | Nov 13, 2018 | Inference OptimizationVariational Inference | CodeCode Available | 0 |
| Learning Latent Dynamics for Planning from Pixels | Nov 12, 2018 | continuous-controlContinuous Control | CodeCode Available | 1 |
| Multi-Source Neural Variational Inference | Nov 11, 2018 | Variational Inference | —Unverified | 0 |
| SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient | Nov 11, 2018 | Variational Inference | CodeCode Available | 0 |
| Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems | Nov 10, 2018 | DecoderText Generation | —Unverified | 0 |
| BAR: Bayesian Activity Recognition using variational inference | Nov 8, 2018 | Activity RecognitionBayesian Inference | —Unverified | 0 |
| A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms | Nov 8, 2018 | Bayesian Inferenceparameter estimation | CodeCode Available | 0 |
| Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference | Nov 7, 2018 | Variational Inference | —Unverified | 0 |
| Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization | Nov 6, 2018 | Active LearningGeneral Classification | —Unverified | 0 |
| Nonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium Data | Nov 6, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Fast Non-Bayesian Poisson Factorization for Implicit-Feedback Recommendations | Nov 5, 2018 | Recommendation SystemsVariational Inference | CodeCode Available | 0 |
| VIREL: A Variational Inference Framework for Reinforcement Learning | Nov 3, 2018 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |
| Large-scale Heteroscedastic Regression via Gaussian Process | Nov 3, 2018 | regressionVariational Inference | —Unverified | 0 |
| DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora | Nov 3, 2018 | Variational Inference | CodeCode Available | 0 |
| Gaussian Process Conditional Density Estimation | Oct 30, 2018 | Density EstimationFew-Shot Learning | —Unverified | 0 |
| Using Large Ensembles of Control Variates for Variational Inference | Oct 30, 2018 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
| Semi-crowdsourced Clustering with Deep Generative Models | Oct 29, 2018 | ClusteringVariational Inference | CodeCode Available | 0 |
| Kalman Gradient Descent: Adaptive Variance Reduction in Stochastic Optimization | Oct 29, 2018 | BIG-bench Machine LearningStochastic Optimization | CodeCode Available | 0 |
| Variational Calibration of Computer Models | Oct 29, 2018 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Variational Inference with Tail-adaptive f-Divergence | Oct 29, 2018 | Deep Reinforcement LearningReinforcement Learning | CodeCode Available | 0 |
| Variational Semi-supervised Aspect-term Sentiment Analysis via Transformer | Oct 24, 2018 | Aspect-Based Sentiment Analysis (ABSA)Natural Language Understanding | —Unverified | 0 |
| Pyro: Deep Universal Probabilistic Programming | Oct 18, 2018 | GPUProbabilistic Programming | CodeCode Available | 0 |
