Efficient Semi-Implicit Variational Inference

15 January 2021

Jun Wang

Papers citing "Efficient Semi-Implicit Variational Inference"

32 / 32 papers shown

Title
Compositional ADAM: An Adaptive Compositional Solver Rasul Tutunov Minne Li Alexander I. Cowen-Rivers Jun Wang Haitham Bou-Ammar ODL 97 16 0 10 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 541 42,591 0 03 Dec 2019
Multi-View Reinforcement Learning Minne Li Lisheng Wu Haitham Bou-Ammar Jun Wang 53 26 0 18 Oct 2019
Derivative-Free & Order-Robust Optimisation Victor Gabillon Rasul Tutunov Michal Valko Haitham Bou-Ammar 27 6 0 09 Oct 2019
On the Convergence of Adam and Beyond Sashank J. Reddi Satyen Kale Surinder Kumar 106 2,505 0 19 Apr 2019
Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem Liu Liu Ji Liu Cho-Jui Hsieh Dacheng Tao 50 13 0 06 Sep 2018
Unbiased Implicit Variational Inference Michalis K. Titsias Francisco J. R. Ruiz BDL 100 57 0 06 Aug 2018
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator Cong Fang C. J. Li Zhouchen Lin Tong Zhang 95 580 0 04 Jul 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 82 128 0 28 May 2018
On Nesting Monte Carlo Estimators Tom Rainforth R. Cornish Hongseok Yang Andrew Warrington Frank Wood 102 132 0 18 Sep 2017
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds Mahesh Chandra Mukkamala Matthias Hein ODL 57 258 0 17 Jun 2017
Gradient Estimators for Implicit Models Yingzhen Li Richard Turner 116 108 0 19 May 2017
How to Escape Saddle Points Efficiently Chi Jin Rong Ge Praneeth Netrapalli Sham Kakade Michael I. Jordan ODL 229 838 0 02 Mar 2017
Variational Inference using Implicit Distributions Ferenc Huszár DRL GAN 165 135 0 27 Feb 2017
Learning in Implicit Generative Models S. Mohamed Balaji Lakshminarayanan GAN 197 417 0 11 Oct 2016
Accelerating Stochastic Composition Optimization Mengdi Wang Ji Liu Ethan X. Fang 62 148 0 25 Jul 2016
A Distributed Newton Method for Large Scale Consensus Optimization Rasul Tutunov Haitham Bou-Ammar Ali Jadbabaie 75 65 0 21 Jun 2016
Variance Reduction for Faster Non-Convex Optimization Zeyuan Allen-Zhu Elad Hazan ODL 118 392 0 17 Mar 2016
Auxiliary Deep Generative Models Lars Maaløe C. Sønderby Søren Kaae Sønderby Ole Winther DRL GAN 78 451 0 17 Feb 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 293 4,807 0 04 Jan 2016
The Variational Gaussian Process Dustin Tran Rajesh Ranganath David M. Blei BDL 81 186 0 20 Nov 2015
Hierarchical Variational Models Rajesh Ranganath Dustin Tran David M. Blei DRL VLM 90 337 0 07 Nov 2015
Variational Gaussian Copula Inference Shaobo Han X. Liao David B. Dunson Lawrence Carin 78 56 0 19 Jun 2015
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes Ryan Giordano Tamara Broderick Michael I. Jordan 59 83 0 12 Jun 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 318 4,196 0 21 May 2015
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra GAN DRL 173 1,961 0 16 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Stochastic Compositional Gradient Descent: Algorithms for Minimizing Compositions of Expected-Value Functions Mengdi Wang Ethan X. Fang Han Liu 96 264 0 14 Nov 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 163 6,632 0 22 Dec 2012
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 262 2,627 0 29 Jun 2012
Variational Probabilistic Inference and the QMR-DT Network Tommi Jaakkola Michael I. Jordan BDL 117 202 0 27 May 2011