Variational Inference

GILBO: One Metric to Measure Them All NeurIPS 2018 Gradient Estimators for Implicit Models ICLR 2018 GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model EMNLP 2018 GumBolt: Extending Gumbel trick to Boltzmann priors NeurIPS 2018 Hamiltonian Variational Auto-Encoder NeurIPS 2018 Hierarchical CVAE for Fine-Grained Hate Speech Classification EMNLP 2018 Importance Weighting and Variational Inference NeurIPS 2018 Improving Explorability in Variational Inference with Annealed Variational Objectives NeurIPS 2018 Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo NeurIPS 2018 Inference Suboptimality in Variational Autoencoders ICML 2018 Information Constraints on Auto-Encoding Variational Bayes NeurIPS 2018 Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention COLING 2018 Interpretable Latent Spaces for Learning from Demonstration CoRL 2018 IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis NeurIPS 2018 Iterative Amortized Inference ICML 2018 Joint Learning Using Denoising Variational Autoencoders for Voice Activity Detection Interspeech 2018 Junction Tree Variational Autoencoder for Molecular Graph Generation ICML 2018 Kernel Implicit Variational Inference ICLR 2018 Latent Alignment and Variational Attention NeurIPS 2018 Learning Attractor Dynamics for Generative Memory NeurIPS 2018 Learning Disentangled Joint Continuous and Discrete Representations NeurIPS 2018 Learning From Noisy Web Data With Category-Level Supervision CVPR 2018 Learning Latent Subspaces in Variational Autoencoders NeurIPS 2018 Learning semantic similarity in a continuous space NeurIPS 2018 Learning Sparse Latent Representations with the Deep Copula Information Bottleneck ICLR 2018