| Approximate Inference for Fully Bayesian Gaussian Process Regression | Dec 31, 2019 | GPRregression | CodeCode Available | 0 |
| Hierarchical Variational Imitation Learning of Control Programs | Dec 29, 2019 | Imitation LearningVariational Inference | CodeCode Available | 0 |
| End-to-End Pixel-Based Deep Active Inference for Body Perception and Action | Dec 28, 2019 | Variational Inference | CodeCode Available | 0 |
| Variational Metric Scaling for Metric-Based Meta-Learning | Dec 26, 2019 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 |
| Mixture of Inference Networks for VAE-based Audio-visual Speech Enhancement | Dec 23, 2019 | DecoderSpeech Enhancement | —Unverified | 0 |
| Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines | Dec 23, 2019 | Compressive SensingComputational Efficiency | —Unverified | 0 |
| Pseudo-Encoded Stochastic Variational Inference | Dec 19, 2019 | DecoderVariational Inference | —Unverified | 0 |
| A Closer Look at Disentangling in β-VAE | Dec 11, 2019 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Frequentist Consistency of Generalized Variational Inference | Dec 10, 2019 | Variational Inference | —Unverified | 0 |
| Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression | Dec 5, 2019 | regressionStochastic Optimization | —Unverified | 0 |
| Solving Bayesian Inverse Problems via Variational Autoencoders | Dec 5, 2019 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Scalable Bayesian Preference Learning for Crowds | Dec 4, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning | Dec 4, 2019 | Continual LearningVariational Inference | —Unverified | 0 |
| Deep Probabilistic Models to Detect Data Poisoning Attacks | Dec 3, 2019 | Data PoisoningVariational Inference | —Unverified | 0 |
| Stochastic Variational Inference via Upper Bound | Dec 2, 2019 | Variational Inference | —Unverified | 0 |
| Efficient Approximate Inference with Walsh-Hadamard Variational Inference | Nov 29, 2019 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs | Nov 26, 2019 | Knowledge GraphsRepresentation Learning | —Unverified | 0 |
| Differentially Private Federated Variational Inference | Nov 24, 2019 | Bayesian InferenceFederated Learning | CodeCode Available | 0 |
| A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model | Nov 22, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure | Nov 22, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 |
| Continual Learning with Adaptive Weights (CLAW) | Nov 21, 2019 | Continual LearningTransfer Learning | —Unverified | 0 |
| Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation | Nov 9, 2019 | Simultaneous Localization and MappingState Estimation | —Unverified | 0 |
| Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse | Nov 6, 2019 | Variational Inference | —Unverified | 0 |
| Generalized Transformation-based Gradient | Nov 6, 2019 | Variational Inference | —Unverified | 0 |
| A Rule for Gradient Estimator Selection, with an Application to Variational Inference | Nov 5, 2019 | Variational Inference | —Unverified | 0 |