variational inference

Variational Information Planning for Sequential Decision Making AISTATS 2019 Variational Laplace Autoencoders ICML 2019 Variational Noise-Contrastive Estimation AISTATS 2019 Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images CVPR 2019 Variational Russian Roulette for Deep Bayesian Nonparametrics ICML 2019 Variational Smoothing in Recurrent Neural Network Language Models ICLR 2019 Variational Structured Semantic Inference for Diverse Image Captioning NeurIPS 2019 Variational Temporal Abstraction NeurIPS 2019 Variational Training for Large-Scale Noisy-OR Bayesian Networks UAI 2019 Variational Uncalibrated Photometric Stereo Under General Lighting ICCV 2019 vGraph: A Generative Model for Joint Community Detection and Node Representation Learning NeurIPS 2019 VIREL: A Variational Inference Framework for Reinforcement Learning NeurIPS 2019 Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions ICCV 2019 Word Embedding as Maximum A Posteriori Estimation AAAI 2019 3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces IJCAI 2018 A Bayesian Latent Variable Model of User Preferences with Item Context IJCAI 2018 A Bayesian Nonparametric View on Count-Min Sketch NeurIPS 2018 Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective CVPR 2018 A Hierarchical Latent Structure for Variational Conversation Modeling NAACL 2018 Amortized Inference Regularization NeurIPS 2018 A Spectral Approach to Gradient Estimation for Implicit Distributions ICML 2018 A Stein variational Newton method NeurIPS 2018 A Stochastic Decoder for Neural Machine Translation ACL 2018 A Structured Variational Autoencoder for Contextual Morphological Inflection ACL 2018 Auto-Encoding Sequential Monte Carlo ICLR 2018