reparameterization trick

Reparameterizing Distributions on Lie Groups AISTATS 2019 Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation UAI 2019 Unbiased Implicit Variational Inference AISTATS 2019 Variance reduction properties of the reparameterization trick AISTATS 2019 GumBolt: Extending Gumbel trick to Boltzmann priors NeurIPS 2018 Hamiltonian Variational Auto-Encoder NeurIPS 2018 Implicit Reparameterization Gradients NeurIPS 2018 Pathwise Derivatives Beyond the Reparameterization Trick ICML 2018 Fast Black-box Variational Inference through Stochastic Trust-Region Optimization NeurIPS 2017 Identification of Gaussian Process State Space Models NeurIPS 2017 Large-scale Online Kernel Learning with Random Feature Reparameterization IJCAI 2017 Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms AISTATS 2017 Rényi Divergence Variational Inference NeurIPS 2016 Variational Dropout and the Local Reparameterization Trick NeurIPS 2015