Reducing Reparameterization Gradient Variance

22 May 2017

Papers citing "Reducing Reparameterization Gradient Variance"

7 / 7 papers shown

Title
Provable convergence guarantees for black-box variational inference Justin Domke Guillaume Garrigos Robert Mansel Gower 18 18 0 04 Jun 2023
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning Anran Li Hongyi Peng Lan Zhang Jiahui Huang Qing-Wu Guo Han Yu Yang Liu FedML 15 28 0 21 Feb 2023
SG-VAD: Stochastic Gates Based Speech Activity Detection Jonathan Svirsky Ofir Lindenbaum 24 4 0 28 Oct 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 18 2 0 20 Jun 2022
Deterministic Variational Inference for Robust Bayesian Neural Networks Anqi Wu Sebastian Nowozin Edward Meeds Richard E. Turner José Miguel Hernández-Lobato Alexander L. Gaunt UQCV AAML BDL 27 16 0 09 Oct 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 36 681 0 15 Nov 2017
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation Will Grathwohl Dami Choi Yuhuai Wu Geoffrey Roeder D. Duvenaud 36 299 0 31 Oct 2017