Stochastic Variational Inference

29 June 2012

Matt Hoffman

Papers citing "Stochastic Variational Inference"

50 / 1,065 papers shown

Title
Variational Bayes Estimation of Discrete-Margined Copula Models with Application to Time Series Rubén Loaiza-Maya M. Smith AI4TS 16 13 0 26 Dec 2017
On Statistical Optimality of Variational Bayes D. Pati A. Bhattacharya Yun Yang 29 63 0 25 Dec 2017
Truncated Variational Sampling for "Black Box" Optimization of Generative Models Jörg Lücke Zhenwen Dai Georgios Exarchakis DRL 16 7 0 21 Dec 2017
Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis Amal Agarwal Lingzhou Xue 21 14 0 21 Dec 2017
Noisy Natural Gradient as Variational Inference Guodong Zhang Shengyang Sun David Duvenaud Roger C. Grosse ODL 30 210 0 06 Dec 2017
Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization Victor Veitch Ekansh Sharma Zacharie Naulet Daniel M. Roy 16 1 0 06 Dec 2017
Vprop: Variational Inference using RMSprop Mohammad Emtiyaz Khan Zuozhu Liu Voot Tangkaratt Y. Gal BDL 20 17 0 04 Dec 2017
Differentially Private Variational Dropout Beyza Ermis A. Cemgil 34 5 0 30 Nov 2017
Riemannian Stein Variational Gradient Descent for Bayesian Inference Chang-rui Liu Jun Zhu 27 67 0 30 Nov 2017
Diversity-Promoting Bayesian Learning of Latent Variable Models P. Xie Jun Zhu Eric Xing 18 31 0 23 Nov 2017
Conditionally conjugate mean-field variational Bayes for logistic models Daniele Durante T. Rigon 33 36 0 19 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
Linking Sequences of Events with Sparse or No Common Occurrence across Data Sets Yunsung Kim 25 0 0 12 Nov 2017
SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements Francisco J. R. Ruiz Susan Athey David M. Blei 27 85 0 09 Nov 2017
Bayesian model and dimension reduction for uncertainty propagation: applications in random media Constantin Grigo P. Koutsourelakis 29 31 0 07 Nov 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 21 517 0 02 Nov 2017
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference Scott W. Linderman Gonzalo E. Mena H. Cooper Liam Paninski John P. Cunningham 21 50 0 26 Oct 2017
Sequential Matrix Completion A. Marsden S. Bacallado 24 2 0 23 Oct 2017
Dropout Sampling for Robust Object Detection in Open-Set Conditions Dimity Miller Lachlan Nicholson Feras Dayoub Niko Sünderhauf BDL UQCV 39 233 0 18 Oct 2017
On the challenges of learning with inference networks on sparse, high-dimensional data Rahul G. Krishnan Dawen Liang Matthew Hoffman CML BDL 24 85 0 17 Oct 2017
Automated Scalable Bayesian Inference via Hilbert Coresets Trevor Campbell Tamara Broderick 27 127 0 13 Oct 2017
$α$ -Variational Inference with Statistical Guarantees Yun Yang D. Pati A. Bhattacharya 10 25 0 09 Oct 2017
Conic Scan-and-Cover algorithms for nonparametric topic modeling Mikhail Yurochkin Aritra Guha X. Nguyen 8 16 0 09 Oct 2017
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference Jonathan H. Huggins Ryan P. Adams Tamara Broderick 24 32 0 26 Sep 2017
Perturbative Black Box Variational Inference Robert Bamler Cheng Zhang Manfred Opper Stephan Mandt BDL 23 40 0 21 Sep 2017
ZhuSuan: A Library for Bayesian Deep Learning Jiaxin Shi Jianfei Chen Jun Zhu Shengyang Sun Yucen Luo Yihong Gu Yuhao Zhou UQCV BDL 38 43 0 18 Sep 2017
Learning Model Reparametrizations: Implicit Variational Inference by Fitting MCMC distributions Michalis K. Titsias BDL 16 23 0 04 Aug 2017
Dynamic Clustering Algorithms via Small-Variance Analysis of Markov Chain Mixture Models Trevor Campbell Brian Kulis Jonathan P. How 18 13 0 26 Jul 2017
Learning to Draw Samples with Amortized Stein Variational Gradient Descent Yihao Feng Dilin Wang Qiang Liu GAN BDL 29 79 0 20 Jul 2017
Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes Tomoharu Iwata Zoubin Ghahramani UQCV BDL 16 41 0 19 Jul 2017
Bayesian Nonlinear Support Vector Machines for Big Data F. Wenzel Théo Galy-Fajou M. Deutsch Marius Kloft BDL 23 27 0 18 Jul 2017
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization Junyu Xuan Jie Lu Guangquan Zhang R. Xu 31 4 0 18 Jul 2017
Bayesian Models of Data Streams with Hierarchical Power Priors A. Masegosa Thomas D. Nielsen H. Langseth D. Ramos-López Antonio Salmerón A. Madsen 36 23 0 07 Jul 2017
Efficient Correlated Topic Modeling with Topic Embedding Junxian He Zhiting Hu Taylor Berg-Kirkpatrick Ying Huang Eric Xing 31 48 0 01 Jul 2017
Concentration of tempered posteriors and of their variational approximations Pierre Alquier James Ridgway 27 121 0 28 Jun 2017
Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context Shyam Upadhyay Kai-Wei Chang Matt Taddy Adam Kalai James Zou 26 26 0 25 Jun 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
Stochastic Gradient MCMC Methods for Hidden Markov Models Yian Ma N. Foti E. Fox BDL 10 32 0 14 Jun 2017
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing Andre Manoel Florent Krzakala Eric W. Tramel Lenka Zdeborová 29 13 0 02 Jun 2017
Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora Jooyeon Kim Dongwoo Kim Alice Oh BDL 10 14 0 02 Jun 2017
Variational Sequential Monte Carlo C. A. Naesseth Scott W. Linderman Rajesh Ranganath David M. Blei BDL 19 214 0 31 May 2017
Auto-Encoding Sequential Monte Carlo T. Le Maximilian Igl Tom Rainforth Tom Jin Frank Wood BDL DRL 24 151 0 29 May 2017
Kernel Implicit Variational Inference Jiaxin Shi Shengyang Sun Jun Zhu BDL 29 3 0 29 May 2017
Lifelong Generative Modeling Jason Ramapuram Magda Gregorova Alexandros Kalousis BDL CLL 24 119 0 27 May 2017
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 22 210 0 25 May 2017
Proximity Variational Inference Jaan Altosaar Rajesh Ranganath David M. Blei BDL 8 21 0 24 May 2017
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations Diane Bouchacourt Ryota Tomioka Sebastian Nowozin BDL OOD DRL 18 309 0 24 May 2017
Reducing Reparameterization Gradient Variance Andrew C. Miller N. Foti Alexander DÁmour Ryan P. Adams 27 84 0 22 May 2017
Parallel Streaming Wasserstein Barycenters Matthew Staib Sebastian Claici Justin Solomon Stefanie Jegelka 16 88 0 21 May 2017
Beyond similarity assessment: Selecting the optimal model for sequence alignment via the Factorized Asymptotic Bayesian algorithm Taikai Takeda Michiaki Hamada 10 1 0 19 May 2017