Smoothed Gradients for Stochastic Variational Inference

Smoothed Gradients for Stochastic Variational Inference

13 June 2014

Papers citing "Smoothed Gradients for Stochastic Variational Inference"

12 / 12 papers shown

Title
Tightening Bounds for Variational Inference by Revisiting Perturbation Theory Robert Bamler Cheng Zhang Manfred Opper Stephan Mandt 22 3 0 30 Sep 2019
DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora S. Zee Alice Havrileck 17 3 0 03 Nov 2018
Kalman Gradient Descent: Adaptive Variance Reduction in Stochastic Optimization James Vuckovic ODL 21 15 0 29 Oct 2018
Efficient Training on Very Large Corpora via Gramian Estimation Walid Krichene Nicolas Mayoraz Steffen Rendle Li Zhang Xinyang Yi Lichan Hong Ed H. Chi John R. Anderson 14 47 0 18 Jul 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI Justin Domke BDL 19 6 0 20 Jun 2017
Determinantal Point Processes for Mini-Batch Diversification Cheng Zhang Hedvig Kjellström Stephan Mandt 27 35 0 01 May 2017
Incremental Variational Inference for Latent Dirichlet Allocation Cédric Archambeau Beyza Ermis BDL 23 6 0 17 Jul 2015
Stochastic Expectation Propagation Yingzhen Li Jose Miguel Hernandez-Lobato Richard Turner 28 114 0 12 Jun 2015
Variational consensus Monte Carlo Maxim Rabinovich E. Angelino Michael I. Jordan 29 50 0 09 Jun 2015
A trust-region method for stochastic variational inference with applications to streaming data Lucas Theis Matthew D. Hoffman 31 42 0 28 May 2015
Big Learning with Bayesian Methods Jun Zhu Jianfei Chen Wenbo Hu Bo Zhang BDL 41 84 0 24 Nov 2014