| 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 |
