variational inference

The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget ICLR 2020 Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract) AAAI 2020 Thompson Sampling via Local Uncertainty ICML 2020 To Relieve Your Headache of Training an MRF, Take AdVIL ICLR 2020 Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection IJCAI 2020 Towards Consistent Variational Auto-Encoding (Student Abstract) AAAI 2020 Towards Interpretable Natural Language Understanding with Explanations as Latent Variables NeurIPS 2020 Training Binary Neural Networks using the Bayesian Learning Rule ICML 2020 Training Deep Energy-Based Models with f-Divergence Minimization ICML 2020 Transfer Learning of the Expressivity Using FLOW Metric Learning in Multispeaker Text-to-Speech Synthesis Interspeech 2020 Tree-Structured Neural Topic Model ACL 2020 Trust-Region Variational Inference with Gaussian Mixture Models JMLR 2020 Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks AAAI 2020 TwoStreamVAN: Improving Motion Modeling in Video Generation WACV 2020 Uncertainty in Model-Agnostic Meta-Learning using Variational Inference WACV 2020 Uncertainty in Neural Networks: Approximately Bayesian Ensembling AISTATS 2020 Understanding the Limitations of Variational Mutual Information Estimators ICLR 2020 User-Dependent Neural Sequence Models for Continuous-Time Event Data NeurIPS 2020 VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data NeurIPS 2020 Validated Variational Inference via Practical Posterior Error Bounds AISTATS 2020 VarGrad: A Low-Variance Gradient Estimator for Variational Inference NeurIPS 2020 Variance Reduction and Quasi-Newton for Particle-Based Variational Inference ICML 2020 Variational Adversarial Kernel Learned Imitation Learning AAAI 2020 Variational Autoencoders with Riemannian Brownian Motion Priors ICML 2020 Variational Bayesian Quantization ICML 2020