| Provable Smoothness Guarantees for Black-Box Variational Inference | Jan 24, 2019 | Variational Inference | —Unverified | 0 |
| Modeling and inference of spatio-temporal protein dynamics across brain networks | Jan 18, 2019 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent | Jan 18, 2019 | RelationVariational Inference | —Unverified | 0 |
| Mixed Variational Inference | Jan 15, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems | Jan 15, 2019 | Probabilistic Deep LearningVariational Inference | CodeCode Available | 0 |
| Large-Scale Joint Topic, Sentiment & User Preference Analysis for Online Reviews | Jan 14, 2019 | Variational Inference | —Unverified | 0 |
| Estimating Buildings' Parameters over Time Including Prior Knowledge | Jan 9, 2019 | Causal Inferenceparameter estimation | CodeCode Available | 0 |
| A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference | Jan 8, 2019 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 |
| Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning | Jan 8, 2019 | Bayesian InferenceDeep Reinforcement Learning | —Unverified | 0 |
| Variational bridge constructs for approximate Gaussian process regression | Jan 7, 2019 | regressionVariational Inference | —Unverified | 0 |
