Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

50 / 1,815 papers shown

Title
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation Charles Hamesse Ruibo Tu P. Ackermann Hedvig Kjellström Cheng Zhang 14 4 0 08 Sep 2018
The Sparse Latent Position Model for nonnegative weighted networks Riccardo Rastelli 11 5 0 28 Aug 2018
Natural Language Generation with Neural Variational Models Hareesh Bahuleyan DRL 14 6 0 27 Aug 2018
Task adapted reconstruction for inverse problems J. Adler Sebastian Lunz Olivier Verdier Carola-Bibiane Schönlieb Ozan Oktem 36 43 0 27 Aug 2018
TAP free energy, spin glasses, and variational inference Z. Fan Song Mei Andrea Montanari 11 25 0 23 Aug 2018
Community detection in networks without observing edges Till Hoffmann Leto Peel R. Lambiotte N. Jones 11 52 0 18 Aug 2018
Analyzing Inverse Problems with Invertible Neural Networks Lynton Ardizzone Jakob Kruse Sebastian J. Wirkert D. Rahner E. Pellegrini R. Klessen Lena Maier-Hein Carsten Rother Ullrich Kothe 21 483 0 14 Aug 2018
SciSports: Learning football kinematics through two-dimensional tracking data Anatoliy Babic Harshita Bansal G. Finocchio Julian Golak M. Peletier J. Portegies C. Stegehuis Anuj Tyagi Roland Vincze W. Yoo 20 0 0 14 Aug 2018
Unbiased Implicit Variational Inference Michalis K. Titsias Francisco J. R. Ruiz BDL 24 52 0 06 Aug 2018
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks Mingzhang Yin Mingyuan Zhou MQ 26 11 0 30 Jul 2018
Auto-Encoding Variational Neural Machine Translation Bryan Eikema Wilker Aziz DRL BDL 16 39 0 27 Jul 2018
Variational inequalities and mean-field approximations for partially observed systems of queueing networks Iker Perez G. Casale 11 3 0 23 Jul 2018
Subsampling MCMC - An introduction for the survey statistician M. Quiroz M. Villani Robert Kohn Minh-Ngoc Tran Khue-Dung Dang 14 23 0 23 Jul 2018
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model A. G. Baydin Lukas Heinrich W. Bhimji Lei Shao Saeid Naderiparizi ... Philip Torr Victor W. Lee P. Prabhat Kyle Cranmer Frank Wood 26 31 0 20 Jul 2018
Approximate Collapsed Gibbs Clustering with Expectation Propagation Christopher Aicher E. Fox 28 0 0 19 Jul 2018
Statistical Inference with Local Optima Yen-Chi Chen 24 9 0 12 Jul 2018
A Variational Time Series Feature Extractor for Action Prediction Maxime Chaveroche Adrien Malaisé F. Colas François Charpillet S. Ivaldi AI4TS 15 8 0 06 Jul 2018
Quasi-Monte Carlo Variational Inference Alexander K. Buchholz F. Wenzel Stephan Mandt BDL 25 58 0 04 Jul 2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 16 681 0 03 Jul 2018
COSMO: Contextualized Scene Modeling with Boltzmann Machines Ilker Bozcan Sinan Kalkan 12 15 0 02 Jul 2018
New Heuristics for Parallel and Scalable Bayesian Optimization Ran Rubin 11 0 0 01 Jul 2018
Nonparametric learning from Bayesian models with randomized objective functions Simon Lyddon S. Walker C. C. Holmes OOD 11 48 0 29 Jun 2018
The decoupled extended Kalman filter for dynamic exponential-family factorization models C. Gomez-Uribe Brian Karrer 27 6 0 26 Jun 2018
Probabilistic PARAFAC2 Philip J. H. Jørgensen S. F. V. Nielsen Jesper L. Hinrich Mikkel N. Schmidt Kristoffer Hougaard Madsen Morten Mørup 18 6 0 21 Jun 2018
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop Martin Biehl Christian Guckelsberger Christoph Salge Simón C. Smith Daniel Polani LRM AI4CE 22 25 0 21 Jun 2018
Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty Hao Zhou Yunyang Xiong Vikas Singh UQCV BDL 52 4 0 10 Jun 2018
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 61 0 0 08 Jun 2018
Using Social Network Information in Bayesian Truth Discovery Jielong Yang Junshan Wang Wee Peng Tay 14 9 0 08 Jun 2018
Stein Variational Gradient Descent Without Gradient J. Han Qiang Liu 14 45 0 07 Jun 2018
Scalable Multi-Class Bayesian Support Vector Machines for Structured and Unstructured Data Martin Wistuba Ambrish Rawat BDL 27 2 0 07 Jun 2018
Segment-Based Credit Scoring Using Latent Clusters in the Variational Autoencoder R. A. Mancisidor Michael C. Kampffmeyer K. Aas Robert Jenssen DRL 14 3 0 07 Jun 2018
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks C. Park Kathryn B. Laskey Paulo C. G. Costa Shou Matsumoto BDL 14 2 0 06 Jun 2018
Boosting Black Box Variational Inference Francesco Locatello Gideon Dresdner Rajiv Khanna Isabel Valera Gunnar Rätsch 34 31 0 06 Jun 2018
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference Louis C. Tiao Edwin V. Bonilla F. Ramos BDL OOD 16 7 0 05 Jun 2018
Cyberattack Detection using Deep Generative Models with Variational Inference S. Chandy A. Rasekh Zachary A. Barker M. Shafiee AAML 12 25 0 31 May 2018
Wasserstein Variational Inference L. Ambrogioni Umut Güçlü Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL DRL 19 42 0 29 May 2018
Video Anomaly Detection and Localization via Gaussian Mixture Fully Convolutional Variational Autoencoder Yaxiang Fan G. Wen Deren Li S. Qiu M. Levine DRL 19 211 0 29 May 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 35 121 0 28 May 2018
A Stochastic Decoder for Neural Machine Translation P. Schulz Wilker Aziz Trevor Cohn BDL 30 29 0 28 May 2018
Bayesian Deep Net GLM and GLMM Minh-Ngoc Tran Nghia Nguyen David J. Nott Robert Kohn BDL 12 73 0 25 May 2018
Accurate Computation of Marginal Data Densities Using Variational Bayes G. Hajargasht T. Wo'zniak 25 8 0 25 May 2018
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers Marcel Hirt P. Dellaportas BDL 20 10 0 23 May 2018
Bayesian posterior approximation via greedy particle optimization Futoshi Futami Zhenghang Cui Issei Sato Masashi Sugiyama 23 22 0 21 May 2018
Learning 3D Shape Completion under Weak Supervision David Stutz Andreas Geiger 3DPC SSL 35 106 0 18 May 2018
A Forest Mixture Bound for Block-Free Parallel Inference Neal Lawton Aram Galstyan Greg Ver Steeg 16 0 0 17 May 2018
Consistency of Variational Bayes Inference for Estimation and Model Selection in Mixtures Badr-Eddine Chérief-Abdellatif Pierre Alquier 35 52 0 14 May 2018
Replicating Active Appearance Model by Generator Network Tian Han Jiawen Wu Ying Nian Wu CVBM 12 2 0 14 May 2018
Robust and Scalable Models of Microbiome Dynamics T. Gibson Georg Gerber 75 35 0 11 May 2018
Exploration by Distributional Reinforcement Learning Yunhao Tang Shipra Agrawal OOD 41 30 0 04 May 2018
QuaSE: Accurate Text Style Transfer under Quantifiable Guidance Yi Liao Lidong Bing Piji Li Shuming Shi Wai Lam Tong Zhang BDL 24 30 0 19 Apr 2018