| A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime | Feb 11, 2019 | Small Data Image ClassificationUncertainty Quantification | CodeCode Available | 0 |
| Towards Autoencoding Variational Inference for Aspect-based Opinion Summary | Feb 7, 2019 | General ClassificationSentiment Analysis | CodeCode Available | 0 |
| Meta-Amortized Variational Inference and Learning | Feb 5, 2019 | ClusteringDensity Estimation | CodeCode Available | 0 |
| Variational Bayesian Decision-making for Continuous Utilities | Feb 2, 2019 | Decision MakingVariational Inference | CodeCode Available | 0 |
| Understanding MCMC Dynamics as Flows on the Wasserstein Space | Feb 1, 2019 | Novel ConceptsVariational Inference | CodeCode Available | 0 |
| Multilevel Monte Carlo Variational Inference | Feb 1, 2019 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
| Probabilistic Discriminative Learning with Layered Graphical Models | Jan 31, 2019 | General Classificationimage-classification | CodeCode Available | 0 |
| Enhanced Variational Inference with Dyadic Transformation | Jan 30, 2019 | Variational Inference | CodeCode Available | 0 |
| Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning | Jan 30, 2019 | BIG-bench Machine Learningreinforcement-learning | —Unverified | 0 |
| Metric Gaussian Variational Inference | Jan 30, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Provable Smoothness Guarantees for Black-Box Variational Inference | Jan 24, 2019 | Variational Inference | —Unverified | 0 |
| To Relieve Your Headache of Training an MRF, Take AdVIL | 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 |
| Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems | Jan 15, 2019 | Probabilistic Deep LearningVariational Inference | CodeCode Available | 0 |
| Mixed Variational Inference | Jan 15, 2019 | Bayesian InferenceVariational 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 |
| A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification | Jan 2, 2019 | General Classificationimage-classification | CodeCode Available | 0 |
| Variational Self-attention Model for Sentence Representation | Dec 30, 2018 | modelSentence | —Unverified | 0 |
| Scalable GAM using sparse variational Gaussian processes | Dec 28, 2018 | Additive modelsGaussian Processes | —Unverified | 0 |
| Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions | Dec 22, 2018 | Variational Inference | CodeCode Available | 0 |
