variational inference

Variational inference for the multi-armed contextual bandit AISTATS 2018 Variational Inference of Disentangled Latent Concepts from Unlabeled Observations ICLR 2018 Variational Inference with Tail-adaptive f-Divergence NeurIPS 2018 Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition NeurIPS 2018 Variational Knowledge Graph Reasoning NAACL 2018 Variational Learning on Aggregate Outputs with Gaussian Processes NeurIPS 2018 Variational Memory Encoder-Decoder NeurIPS 2018 Variational Message Passing with Structured Inference Networks ICLR 2018 Variational Network Inference: Strong and Stable with Concrete Support ICML 2018 Variational Network Quantization ICLR 2018 Variational Rejection Sampling AISTATS 2018 Variational Sequential Labelers for Semi-Supervised Learning EMNLP 2018 Variational Sequential Monte Carlo AISTATS 2018 Wasserstein Variational Inference NeurIPS 2018 Yes, but Did It Work?: Evaluating Variational Inference ICML 2018 A Conditional Variational Framework for Dialog Generation ACL 2017 Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis Interspeech 2017 A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning NeurIPS 2017 Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks ICML 2017 A Generative Parser with a Discriminative Recognition Algorithm ACL 2017 Age Progression/Regression by Conditional Adversarial Autoencoder CVPR 2017 A Hybrid Convolutional Variational Autoencoder for Text Generation EMNLP 2017 AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms NeurIPS 2017 A Lower Bound on the Partition Function of Attractive Graphical Models in the Continuous Case AISTATS 2017 A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings ACML 2017