evidence lower bound

Variational Bayesian Multi-Channel Speech Dereverberation Under Noisy Environments with Probabilistic Convolutive Transfer Function Interspeech 2019 Boosting Black Box Variational Inference NeurIPS 2018 Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference ICLR 2018 Deep Variational Reinforcement Learning for POMDPs ICML 2018 Discretely Relaxing Continuous Variables for tractable Variational Inference NeurIPS 2018 Estimation of the Number of Speakers with Variational Bayesian PLDA in the DIHARD Diarization Challenge. Interspeech 2018 Fixing a Broken ELBO ICML 2018 Semi-Implicit Variational Inference ICML 2018 Tighter Variational Bounds are Not Necessarily Better ICML 2018 Variational Inference and Model Selection with Generalized Evidence Bounds ICML 2018 Filtering Variational Objectives NeurIPS 2017 Gray-box Inference for Structured Gaussian Process Models AISTATS 2017 Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference NeurIPS 2017 Tied Variational Autoencoder Backends for i-Vector Speaker Recognition Interspeech 2017 Distributed Flexible Nonlinear Tensor Factorization NeurIPS 2016 Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models NeurIPS 2014 Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013 Integrated Non-Factorized Variational Inference NeurIPS 2013