Deep Exponential Families

10 November 2014

Papers citing "Deep Exponential Families"

48 / 48 papers shown

Title
Convolutional Deep Exponential Families Chengkuan Hong C. Shelton 32 0 0 27 Oct 2021
Lightweight Data Fusion with Conjugate Mappings C. Dean Stephen J. Lee Jason L. Pacheco John W. Fisher III 23 1 0 20 Nov 2020
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference Hao Zhang Bo Chen Yulai Cong D. Guo Hongwei Liu Mingyuan Zhou BDL 67 28 0 15 Jun 2020
A probabilistic assessment of the Indo-Aryan Inner-Outer Hypothesis C. Cathcart 56 15 0 29 Nov 2019
Poisson-Randomized Gamma Dynamical Systems Aaron Schein Scott W. Linderman Mingyuan Zhou David M. Blei Hanna M. Wallach 68 19 0 28 Oct 2019
Tightening Bounds for Variational Inference by Revisiting Perturbation Theory Robert Bamler Cheng Zhang Manfred Opper Stephan Mandt 41 3 0 30 Sep 2019
Towards Verified Stochastic Variational Inference for Probabilistic Programs Wonyeol Lee Hangyeol Yu Xavier Rival Hongseok Yang 70 26 0 20 Jul 2019
Convolutional Poisson Gamma Belief Network Chaojie Wang Bo Chen Sucheng Xiao Mingyuan Zhou 87 15 0 14 May 2019
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records Linying Zhang Yixin Wang A. Ostropolets J. J. Mulgrave David M. Blei G. Hripcsak BDL CML 136 1 0 03 Apr 2019
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders Ioana Bica Ahmed Alaa M. Schaar BDL CML AI4TS 86 114 0 01 Feb 2019
We Are Not Your Real Parents: Telling Causal from Confounded using MDL David Kaltenpoth Jilles Vreeken CML 114 22 0 21 Jan 2019
GO Gradient for Expectation-Based Objectives Yulai Cong Miaoyun Zhao Ke Bai Lawrence Carin 150 16 0 17 Jan 2019
Dirichlet belief networks for topic structure learning He Zhao Lan Du Wray Buntine Mingyuan Zhou OOD BDL 67 44 0 02 Nov 2018
Using Large Ensembles of Control Variates for Variational Inference Tomas Geffner Justin Domke BDL 95 35 0 30 Oct 2018
Good Initializations of Variational Bayes for Deep Models Simone Rossi Pietro Michiardi Maurizio Filippone BDL 130 22 0 18 Oct 2018
Pathwise Derivatives Beyond the Reparameterization Trick M. Jankowiak F. Obermeyer 176 113 0 05 Jun 2018
A Forest Mixture Bound for Block-Free Parallel Inference Neal Lawton Aram Galstyan Greg Ver Steeg 39 0 0 17 May 2018
The Blessings of Multiple Causes Yixin Wang David M. Blei AI4CE CML 70 291 0 17 May 2018
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families Seong Jae Hwang Ronak R. Mehta Hyunwoo J. Kim Vikas Singh BDL UQCV 61 3 0 19 Apr 2018
Locally Private Bayesian Inference for Count Models Aaron Schein Zhiwei Steven Wu Alexandra Schofield Mingyuan Zhou Hanna M. Wallach 156 37 0 22 Mar 2018
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling Hao Zhang Bo Chen D. Guo Mingyuan Zhou BDL 80 118 0 04 Mar 2018
Faithful Inversion of Generative Models for Effective Amortized Inference Stefan Webb Adam Goliñski R. Zinkov Siddharth Narayanaswamy Tom Rainforth Yee Whye Teh Frank Wood TPM 134 47 0 01 Dec 2017
Perturbative Black Box Variational Inference Robert Bamler Cheng Zhang Manfred Opper Stephan Mandt BDL 77 40 0 21 Sep 2017
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction Hossein Soleimani J. Hensman Suchi Saria 81 60 0 16 Aug 2017
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC Yulai Cong Bo Chen Hongwei Liu Mingyuan Zhou BDL 74 66 0 06 Jun 2017
Neural Models for Documents with Metadata Dallas Card Chenhao Tan Noah A. Smith BDL 96 122 0 25 May 2017
Proximity Variational Inference Jaan Altosaar Rajesh Ranganath David M. Blei BDL 43 22 0 24 May 2017
VAE Learning via Stein Variational Gradient Descent Yunchen Pu Zhe Gan Ricardo Henao Chunyuan Li Shaobo Han Lawrence Carin DRL 74 6 0 18 Apr 2017
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models Mohammad Emtiyaz Khan Wu Lin BDL 77 137 0 13 Mar 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference Dustin Tran Rajesh Ranganath David M. Blei VLM GAN 115 99 0 28 Feb 2017
Bayesian Boolean Matrix Factorisation Tammo Rukat Chris C. Holmes Michalis K. Titsias C. Yau 79 32 0 20 Feb 2017
Multi-Layer Generalized Linear Estimation Andre Manoel Florent Krzakala M. Mézard Lenka Zdeborová 66 54 0 24 Jan 2017
Natural-Parameter Networks: A Class of Probabilistic Neural Networks Hao Wang Xingjian Shi Dit-Yan Yeung BDL 99 83 0 02 Nov 2016
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms C. A. Naesseth Francisco J. R. Ruiz Scott W. Linderman David M. Blei BDL 148 107 0 18 Oct 2016
The Generalized Reparameterization Gradient Francisco J. R. Ruiz Michalis K. Titsias David M. Blei BDL 137 169 0 07 Oct 2016
Deep Survival Analysis Rajesh Ranganath A. Perotte Noémie Elhadad David M. Blei 186 199 0 06 Aug 2016
Exponential Family Embeddings Maja R. Rudolph Francisco J. R. Ruiz Stephan Mandt David M. Blei 117 107 0 02 Aug 2016
Gaussian variational approximation with sparse precision matrices Linda S. L. Tan David J. Nott 140 76 0 18 May 2016
Nonparametric Bayesian Negative Binomial Factor Analysis Mingyuan Zhou 50 38 0 25 Apr 2016
Overdispersed Black-Box Variational Inference Francisco J. R. Ruiz Michalis K. Titsias David M. Blei 153 47 0 03 Mar 2016
Auxiliary Deep Generative Models Lars Maaløe C. Sønderby Søren Kaae Sønderby Ole Winther DRL GAN 112 451 0 17 Feb 2016
High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models Chunyuan Li Changyou Chen Kai Fan Lawrence Carin BDL 96 25 0 23 Dec 2015
Gamma Belief Networks Mingyuan Zhou Yulai Cong Bo Chen BDL 110 87 0 09 Dec 2015
The Variational Gaussian Process Dustin Tran Rajesh Ranganath David M. Blei BDL 131 186 0 20 Nov 2015
Why are deep nets reversible: A simple theory, with implications for training Sanjeev Arora Yingyu Liang Tengyu Ma 96 54 0 18 Nov 2015
Hierarchical Variational Models Rajesh Ranganath Dustin Tran David M. Blei DRL VLM 111 337 0 07 Nov 2015
The Poisson Gamma Belief Network Mingyuan Zhou Yulai Cong Bo Chen BDL 66 53 0 06 Nov 2015
Stochastic gradient descent methods for estimation with large data sets Dustin Tran Panos Toulis E. Airoldi 55 14 0 22 Sep 2015