| Validated Variational Inference via Practical Posterior Error Bounds | Oct 9, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| High Mutual Information in Representation Learning with Symmetric Variational Inference | Oct 4, 2019 | DecoderRepresentation Learning | —Unverified | 0 |
| Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects | Oct 4, 2019 | Variational Inference | —Unverified | 0 |
| Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization | Oct 4, 2019 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| The Neural Moving Average Model for Scalable Variational Inference of State Space Models | Oct 2, 2019 | Bayesian InferenceNormalising Flows | CodeCode Available | 0 |
| CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem | Oct 2, 2019 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications | Oct 2, 2019 | Variational Inference | —Unverified | 0 |
| A Deep Factorization of Style and Structure in Fonts | Oct 2, 2019 | Variational Inference | CodeCode Available | 0 |
| Robust Variational Bayesian Point Set Registration | Oct 1, 2019 | Variational Inference | —Unverified | 0 |
| Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference | Oct 1, 2019 | Activity RecognitionBayesian Inference | —Unverified | 0 |
| Variational Few-Shot Learning | Oct 1, 2019 | Few-Shot LearningMetric Learning | —Unverified | 0 |
| Tightening Bounds for Variational Inference by Revisiting Perturbation Theory | Sep 30, 2019 | Gaussian ProcessesStochastic Optimization | —Unverified | 0 |
| Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference | Sep 30, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Semi-supervised voice conversion with amortized variational inference | Sep 30, 2019 | Variational InferenceVoice Conversion | —Unverified | 0 |
| Meta-Learning for Variational Inference | Sep 25, 2019 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| Latent Variables on Spheres for Sampling and Inference | Sep 25, 2019 | Variational Inference | —Unverified | 0 |
| Gaussian Process Meta-Representations Of Neural Networks | Sep 25, 2019 | Active LearningBayesian Inference | —Unverified | 0 |
| BasisVAE: Orthogonal Latent Space for Deep Disentangled Representation | Sep 25, 2019 | DisentanglementVariational Inference | —Unverified | 0 |
| On PAC-Bayes Bounds for Deep Neural Networks using the Loss Curvature | Sep 25, 2019 | Variational Inference | —Unverified | 0 |
| On the Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks | Sep 25, 2019 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| LIA: Latently Invertible Autoencoder with Adversarial Learning | Sep 25, 2019 | DecoderGenerative Adversarial Network | —Unverified | 0 |
| An Information Theoretic Approach to Distributed Representation Learning | Sep 25, 2019 | Representation LearningVariational Inference | —Unverified | 0 |
| Benefits of Overparameterization in Single-Layer Latent Variable Generative Models | Sep 25, 2019 | Variational Inference | —Unverified | 0 |
| Shallow VAEs with RealNVP Prior Can Perform as Well as Deep Hierarchical VAEs | Sep 25, 2019 | Variational Inference | —Unverified | 0 |
| Refining the variational posterior through iterative optimization | Sep 25, 2019 | Bayesian InferenceVariational Inference | —Unverified | 0 |
