evidence lower bound

Variational Learning for Unsupervised Knowledge Grounded Dialogs IJCAI 2022 Collapsed Variational Bounds for Bayesian Neural Networks NeurIPS 2021 Contrastively Disentangled Sequential Variational Autoencoder NeurIPS 2021 Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty AAAI 2021 Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models ICLR 2021 Monte Carlo Variational Auto-Encoders ICML 2021 On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models AISTATS 2021 Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation ACL 2020 Decision-Making with Auto-Encoding Variational Bayes NeurIPS 2020 Generative Semantic Hashing Enhanced via Boltzmann Machines ACL 2020 Probabilistic Circuits for Variational Inference in Discrete Graphical Models NeurIPS 2020 Quantized Variational Inference NeurIPS 2020 Variational Inference for Sparse Gaussian Process Modulated Hawkes Process AAAI 2020 A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models NeurIPS 2019 A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text EMNLP 2019 Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse NeurIPS 2019 Doubly Semi-Implicit Variational Inference AISTATS 2019 FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS ICLR 2019 Importance Weighted Hierarchical Variational Inference NeurIPS 2019 Learning Disentangled Representation with Pairwise Independence AAAI 2019 Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation UAI 2019 Structured Disentangled Representations AISTATS 2019 Syntax-Infused Variational Autoencoder for Text Generation ACL 2019 The Thermodynamic Variational Objective NeurIPS 2019 Unbiased Implicit Variational Inference AISTATS 2019