| Variational Laplace for Bayesian neural networks | Nov 20, 2020 | BenchmarkingVariational Inference | —Unverified | 0 |
| Online Learning Based Risk-Averse Stochastic MPC of Constrained Linear Uncertain Systems | Nov 20, 2020 | Model Predictive ControlVariational Inference | —Unverified | 0 |
| Understanding Variational Inference in Function-Space | Nov 18, 2020 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Recursive Inference for Variational Autoencoders | Nov 17, 2020 | Variational Inference | —Unverified | 0 |
| Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee | Nov 15, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| Dirichlet Pruning for Neural Network Compression | Nov 10, 2020 | Neural Network CompressionVariational Inference | CodeCode Available | 0 |
| Sparse within Sparse Gaussian Processes using Neighbor Information | Nov 10, 2020 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization | Nov 9, 2020 | Variational Inference | CodeCode Available | 0 |
| User-Dependent Neural Sequence Models for Continuous-Time Event Data | Nov 6, 2020 | Variational Inference | CodeCode Available | 1 |
| Multi-output Gaussian Process Modulated Poisson Processes for Event Prediction | Nov 6, 2020 | PredictionVariational Inference | —Unverified | 0 |
| Quantized Variational Inference | Nov 4, 2020 | Variational Inference | CodeCode Available | 0 |
| Amortized Variational Deep Q Network | Nov 3, 2020 | Deep Reinforcement LearningEfficient Exploration | CodeCode Available | 0 |
| Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix | Nov 3, 2020 | Data AugmentationSuper-Resolution | —Unverified | 0 |
| On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes | Nov 1, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference | Oct 31, 2020 | Graph EmbeddingLink Prediction | CodeCode Available | 0 |
| Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations | Oct 26, 2020 | Variational Inference | —Unverified | 0 |
| Statistical optimality and stability of tangent transform algorithms in logit models | Oct 25, 2020 | regressionVariational Inference | —Unverified | 0 |
| Latent Network Estimation and Variable Selection for Compositional Data via Variational EM | Oct 25, 2020 | Variable SelectionVariational Inference | CodeCode Available | 0 |
| Out-of-distribution detection for regression tasks: parameter versus predictor entropy | Oct 24, 2020 | DiversityOut-of-Distribution Detection | —Unverified | 0 |
| Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors | Oct 24, 2020 | Computational Efficiencyregression | —Unverified | 0 |
| Variational Bayesian Unlearning | Oct 24, 2020 | Variational Inference | —Unverified | 0 |
| Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference | Oct 23, 2020 | Density EstimationVariational Inference | —Unverified | 0 |
| UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data | Oct 22, 2020 | ClusteringPrediction | —Unverified | 0 |
| Probabilistic Circuits for Variational Inference in Discrete Graphical Models | Oct 22, 2020 | Variational Inference | CodeCode Available | 1 |
| A Discrete Variational Recurrent Topic Model without the Reparametrization Trick | Oct 22, 2020 | document understandingVariational Inference | CodeCode Available | 1 |
