| A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms | Nov 8, 2018 | Bayesian Inferenceparameter estimation | CodeCode Available | 0 |
| Forecasting Individualized Disease Trajectories using Interpretable Deep Learning | Oct 24, 2018 | Deep LearningDisease Prediction | —Unverified | 0 |
| Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach | Oct 23, 2018 | Bayesian InferenceClustering | —Unverified | 0 |
| Stochastic Gradient MCMC for State Space Models | Oct 22, 2018 | Bayesian InferenceState Space Models | CodeCode Available | 0 |
| Entropy Analysis of Financial Time Series | Jul 25, 2018 | State Space ModelsTime Series | —Unverified | 0 |
| Optimal Continuous State POMDP Planning with Semantic Observations: A Variational Approach | Jul 22, 2018 | ClusteringDecision Making | —Unverified | 0 |
| Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series | Jul 1, 2018 | State Space ModelsTime Series | —Unverified | 0 |
| Asymptotic Properties of Recursive Maximum Likelihood Estimation in Non-Linear State-Space Models | Jun 25, 2018 | State Space Models | —Unverified | 0 |
| Deep State Space Models for Unconditional Word Generation | Jun 12, 2018 | State Space ModelsText Generation | —Unverified | 0 |
| Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms | Jun 6, 2018 | Probabilistic ProgrammingState Space Models | —Unverified | 0 |
