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Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

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Title
A Temporal Kernel Approach for Deep Learning with Continuous-time Information Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan SyDa AI4TS 54 5 0 28 Mar 2021
A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions Guillaume Staerman Pavlo Mozharovskyi Pierre Colombo Stéphan Clémenccon Florence dÁlché-Buc OOD 582 17 0 23 Mar 2021
On gray-box modeling for virtual flow metering M. Hotvedt B. Grimstad D. Ljungquist Lars Imsland 52 13 0 23 Mar 2021
Measuring and modeling the motor system with machine learning Sébastien B Hausmann Alessandro Marin Vargas Alexander Mathis Mackenzie W. Mathis 93 51 0 22 Mar 2021
A Statistical Introduction to Template Model Builder: A Flexible Tool for Spatial Modeling Aaron Osgood-Zimmerman J. Wakefield 64 5 0 17 Mar 2021
State-space aerodynamic model reveals high force control authority and predictability in flapping flight Y. Bayiz Bo Cheng 38 13 0 14 Mar 2021
Discovery of Physics and Characterization of Microstructure from Data with Bayesian Hidden Physics Models Steven Atkinson Yiming Zhang Liping Wang AI4CE 28 0 0 12 Mar 2021
Variational inference with a quantum computer Marcello Benedetti Brian Coyle Mattia Fiorentini M. Lubasch Matthias Rosenkranz BDL 83 38 0 11 Mar 2021
Monotonic Alpha-divergence Minimisation for Variational Inference Kamélia Daudel Randal Douc François Roueff 88 9 0 09 Mar 2021
Contextual Dropout: An Efficient Sample-Dependent Dropout Module Xinjie Fan Shujian Zhang Korawat Tanwisuth Xiaoning Qian Mingyuan Zhou OOD BDL UQCV 89 31 0 06 Mar 2021
On MCMC for variationally sparse Gaussian processes: A pseudo-marginal approach Karla Monterrubio-Gómez S. Wade 56 2 0 04 Mar 2021
A Structural Causal Model for MR Images of Multiple Sclerosis Jacob C. Reinhold A. Carass Jerry L. Prince CML MedIm 74 29 0 04 Mar 2021
A Survey on Graph Structure Learning: Progress and Opportunities Yanqiao Zhu Weizhi Xu Jinghao Zhang Yuanqi Du Jieyu Zhang Qiang Liu Carl Yang Shu Wu GNN AI4CE 105 104 0 04 Mar 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 155 305 0 03 Mar 2021
Information-geometry of physics-informed statistical manifolds and its use in data assimilation F. Boso D. Tartakovsky AI4CE 77 8 0 01 Mar 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 117 60 0 01 Mar 2021
Challenges and Opportunities in High-dimensional Variational Inference Akash Kumar Dhaka Alejandro Catalina Manushi K. V. Welandawe Michael Riis Andersen Jonathan H. Huggins Aki Vehtari 67 42 0 01 Mar 2021
Moment-Based Variational Inference for Stochastic Differential Equations C. Wildner Heinz Koeppl DiffM 55 4 0 01 Mar 2021
Variational Full Bayes Lasso: Knots Selection in Regression Splines Larissa C. Alves Ronaldo Dias H. Migon 23 2 0 26 Feb 2021
Stein Variational Gradient Descent: many-particle and long-time asymptotics Nikolas Nusken D. M. Renger 99 22 0 25 Feb 2021
Stochastic Aggregation in Graph Neural Networks Yuanqing Wang Theofanis Karaletsos 46 6 0 25 Feb 2021
Probabilistic feature extraction, dose statistic prediction and dose mimicking for automated radiation therapy treatment planning Tianfang Zhang R. Bokrantz Jimmy Olsson MedIm 64 13 0 24 Feb 2021
Sparse online variational Bayesian regression K. Law Vitaly Zankin 30 4 0 24 Feb 2021
Community Detection in Weighted Multilayer Networks with Ambient Noise Mark He Dylan Lu Jason Xu R. Xavier 89 0 0 24 Feb 2021
Product-form estimators: exploiting independence to scale up Monte Carlo Juan Kuntz F. R. Crucinio A. M. Johansen 129 11 0 23 Feb 2021
Inverse Gaussian Process regression for likelihood-free inference Hongqiao Wang Ziqiao Ao Tengchao Yu Jinglai Li 36 1 0 21 Feb 2021
Divide-and-Conquer MCMC for Multivariate Binary Data Suchit Mehrotra H. Brantley P. Onglao Patricia Bata R. Romero Jacob Westman L. Bangerter A. Maity 30 2 0 17 Feb 2021
Variational Inference for Shrinkage Priors: The R package vir Suchit Mehrotra A. Maity BDL 51 1 0 17 Feb 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 321 94 0 16 Feb 2021
Do-calculus enables estimation of causal effects in partially observed biomolecular pathways Sara Mohammad-Taheri Jeremy Zucker C. Hoyt Karen Sachs Vartika Tewari Robert Osazuwa Ness and Olga Vitek 56 0 0 12 Feb 2021
Scalable Bayesian Inverse Reinforcement Learning Alex J. Chan M. Schaar OffRL BDL 90 68 0 12 Feb 2021
On Disentanglement in Gaussian Process Variational Autoencoders Simon Bing Vincent Fortuin Gunnar Rätsch CML CoGe BDL DRL 81 9 0 10 Feb 2021
Continuous-Time Model-Based Reinforcement Learning Çağatay Yıldız Markus Heinonen Harri Lähdesmäki OffRL 71 58 0 09 Feb 2021
Concentrated Document Topic Model Hao Lei Ying Chen 29 1 0 06 Feb 2021
Exclusive Topic Modeling Hao Lei Ying Chen 43 1 0 06 Feb 2021
GIBBON: General-purpose Information-Based Bayesian OptimisatioN Henry B. Moss David S. Leslie Javier I. González Paul Rayson 90 44 0 05 Feb 2021
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems Yin Xia N. Zabaras 56 24 0 04 Feb 2021
Variational Inference for Deblending Crowded Starfields Runjing Liu Jon D. McAuliffe Jeffrey Regier BDL 79 10 0 04 Feb 2021
Variational Bayes survival analysis for unemployment modelling P. Boškoski M. Perne M. Ramesa Biljana Mileva-Boshkoska CML 67 10 0 03 Feb 2021
Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study B. Grimstad M. Hotvedt Anders T. Sandnes O. Kolbjørnsen Lars Imsland 92 22 0 02 Feb 2021
Spike and slab Bayesian sparse principal component analysis Yu-Chien Bo Ning Ning Ning 53 15 0 30 Jan 2021
Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning G. Shamir Wojtek Szpankowski 26 6 0 28 Jan 2021
Generalized Doubly Reparameterized Gradient Estimators Matthias Bauer A. Mnih BDL 74 15 0 26 Jan 2021
Semi-supervised source localization in reverberant environments with deep generative modeling Michael J. Bianco Sharon Gannot Efren Fernandez-Grande Peter Gerstoft 66 21 0 26 Jan 2021
Identification of brain states, transitions, and communities using functional MRI Lingbin Bian Tiangang Cui B. Yeo A. Fornito Adeel Razi J. Keith 38 2 0 26 Jan 2021
Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews Runcong Zhao Lin Gui Gabriele Pergola Yulan He 414 2 0 25 Jan 2021
LonelyText: A Short Messaging Based Classification of Loneliness Mawulolo K. Ameko Sonia Baee Laura E. Barnes 22 3 0 22 Jan 2021
Will Artificial Intelligence supersede Earth System and Climate Models? C. Irrgang Niklas Boers Maike Sonnewald E. Barnes C. Kadow J. Staneva J. Saynisch‐Wagner AI4Cl AI4CE 80 196 0 22 Jan 2021
Evaluating uncertainties in electrochemical impedance spectra of solid oxide fuel cells Luka Žnidarič G. Nusev B. Morel J. Mougin D. Juricic P. Boškoski 58 9 0 20 Jan 2021
Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach Talha Siddique Md. Shaad Mahmud BDL 27 9 0 18 Jan 2021