| 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 |
| Latent Network Estimation and Variable Selection for Compositional Data via Variational EM | Oct 25, 2020 | Variable SelectionVariational Inference | CodeCode Available | 0 |
| Statistical optimality and stability of tangent transform algorithms in logit models | Oct 25, 2020 | regressionVariational Inference | —Unverified | 0 |
| Variational Bayesian Unlearning | Oct 24, 2020 | Variational Inference | —Unverified | 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 |
| 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 |
| The Role of Mutual Information in Variational Classifiers | Oct 22, 2020 | Variational Inference | —Unverified | 0 |
| Sparse Gaussian Process Variational Autoencoders | Oct 20, 2020 | Computational EfficiencyVariational Inference | CodeCode Available | 0 |
| Semi-parametric γ-ray modeling with Gaussian processes and variational inference | Oct 20, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Learning to Learn Variational Semantic Memory | Oct 20, 2020 | Few-Shot LearningGeneral Knowledge | CodeCode Available | 0 |
| Privacy-preserving Data Sharing on Vertically Partitioned Data | Oct 19, 2020 | Privacy PreservingVariational Inference | —Unverified | 0 |
| Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation | Oct 17, 2020 | DecoderFew-Shot Learning | —Unverified | 0 |
| Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter | Oct 17, 2020 | DiversityState Space Models | CodeCode Available | 0 |
| Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning | Oct 17, 2020 | Deep Reinforcement LearningEfficient Exploration | —Unverified | 0 |
| Generating Diverse Translation from Model Distribution with Dropout | Oct 16, 2020 | DiversityMachine Translation | —Unverified | 0 |
| Flexible mean field variational inference using mixtures of non-overlapping exponential families | Oct 14, 2020 | Variable SelectionVariational Inference | CodeCode Available | 0 |
| Tensor Train Factorization and Completion under Noisy Data with Prior Analysis and Rank Estimation | Oct 13, 2020 | image-classificationImage Classification | CodeCode Available | 0 |
| Variational Feature Disentangling for Fine-Grained Few-Shot Classification | Oct 7, 2020 | ClassificationFew-Shot Image Classification | —Unverified | 0 |
| Narrative Text Generation with a Latent Discrete Plan | Oct 7, 2020 | DecoderSentence | CodeCode Available | 0 |
| Learning from demonstration using products of experts: applications to manipulation and task prioritization | Oct 7, 2020 | Variational Inference | —Unverified | 0 |
| VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling | Oct 7, 2020 | Variational InferenceWord Embeddings | CodeCode Available | 0 |