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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
Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories Samuel E. Otto Sebastian Peitz C. Rowley 84 19 0 20 Sep 2022
Knowledge-Aware Bayesian Deep Topic Model Dongsheng Wang Yishi Xu Miaoge Li Zhibin Duan Chaojie Wang Bo Chen Mingyuan Zhou BDL 101 16 0 20 Sep 2022
Bit Allocation using Optimization Tongda Xu Han-yi Gao Chenjian Gao Yuanyuan Wang Dailan He ... Mao Ye Hongwei Qin Yan Wang Jingjing Liu Ya-Qin Zhang 108 16 0 20 Sep 2022
Sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm Alexander C. McLain A. Zgodic H. Bondell 106 2 0 16 Sep 2022
Borch: A Deep Universal Probabilistic Programming Language Lewis Belcher Johan Gudmundsson Michael Green BDL AI4CE UQCV 55 0 0 13 Sep 2022
A Gaussian variational inference approach to motion planning Hongzhe Yu Yongxin Chen 75 18 0 13 Sep 2022
Uncovering Regions of Maximum Dissimilarity on Random Process Data M. Carvalho G. Venturini 19 0 0 12 Sep 2022
Variational Autoencoder Kernel Interpretation and Selection for Classification Fábio Mendonça S. Mostafa F. M. Dias A. Ravelo-García DRL 48 0 0 10 Sep 2022
A Variational Approach to Parameter Estimation for Characterizing 2-D Cluster Variation Method Topographies A. Maren 48 0 0 09 Sep 2022
Bayesian learning of feature spaces for multitasks problems C. Sevilla-Salcedo Ascensión Gallardo-Antolín Vanessa Gómez-Verdejo Emilio Parrado-Hernández 35 1 0 07 Sep 2022
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution J. Dabrowski D. Pagendam UQCV BDL 54 0 0 06 Sep 2022
ProBoost: a Boosting Method for Probabilistic Classifiers Fábio Mendonça S. Mostafa F. Morgado‐Dias A. Ravelo-García Mário A. T. Figueiredo UQCV 34 0 0 04 Sep 2022
A taxonomy of surprise definitions Alireza Modirshanechi Johanni Brea W. Gerstner 31 32 0 02 Sep 2022
Learning Multiscale Non-stationary Causal Structures Gabriele DÁcunto G. D. F. Morales P. Bajardi Francesco Bonchi CML AI4TS 60 4 0 31 Aug 2022
Image Reconstruction by Splitting Expectation Propagation Techniques from Iterative Inversion R. Aykroyd Kehinde Olobatuyi 23 0 0 25 Aug 2022
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression Youngseok Kim Wei Wang P. Carbonetto M. Stephens 66 16 0 23 Aug 2022
A Graphical Model for Fusing Diverse Microbiome Data Mehmet Aktukmak Haonan Zhu M. Chevrette Julia Nepper S. Magesh J. Handelsman Alfred Hero 54 2 0 21 Aug 2022
SimLDA: A tool for topic model evaluation Rebecca M. C. Taylor J. D. Preez 112 0 0 19 Aug 2022
Uncertainty-guided Source-free Domain Adaptation Subhankar Roy Martin Trapp Andrea Pilzer Arno Solin N. Sebe Elisa Ricci Arno Solin EDL TTA UQLM UQCV 135 68 0 16 Aug 2022
Virgo: Scalable Unsupervised Classification of Cosmological Shock Waves Max Lamparth Ludwig M. Böss U. Steinwandel K. Dolag 35 0 0 14 Aug 2022
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Zhendong Wang Jonathan J. Hunt Mingyuan Zhou OffRL 141 391 0 12 Aug 2022
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping Russell Z. Kunes Mingzhang Yin Max Land Doron Haviv Dana Peér Simon Tavaré BDL 89 3 0 12 Aug 2022
Variational Autoencoders for Anomaly Detection in Respiratory Sounds Michele Cozzatti Federico Simonetta Stavros Ntalampiras DRL 53 4 0 05 Aug 2022
A Case-Study of Sample-Based Bayesian Forecasting Algorithms Taylor R. Brown AI4TS 20 0 0 05 Aug 2022
Computing Bayes: From Then 'Til Now' G. Martin David T. Frazier Christian P. Robert 106 16 0 01 Aug 2022
Reconstructing Sparse Multiplex Networks with Application to Covert Networks Jin-Zhu Yu Mincheng Wu Gisela Bichler Felipe Aros-Vera Jianxi Gao 61 1 0 29 Jul 2022
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge Xiaofeng Cao Weixin Bu Sheng-Jun Huang Minling Zhang Ivor W. Tsang Yew-Soon Ong James T. Kwok 99 1 0 29 Jul 2022
One Simple Trick to Fix Your Bayesian Neural Network Piotr Tempczyk Ksawery Smoczyñski Philip Smolenski-Jensen Marek Cygan BDL MLT 26 0 0 26 Jul 2022
Reliable amortized variational inference with physics-based latent distribution correction Ali Siahkoohi G. Rizzuti Rafael Orozco Felix J. Herrmann 83 29 0 24 Jul 2022
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection Kush S. Bhatia Nikki Lijing Kuang Yi-An Ma Yixin Wang 69 7 0 22 Jul 2022
Correcting Model Bias with Sparse Implicit Processes Simón Rodríguez Santana Luis A. Ortega Andrés Daniel Hernández-Lobato B. Zaldívar BDL 51 1 0 21 Jul 2022
Illusory Attacks: Information-Theoretic Detectability Matters in Adversarial Attacks Tim Franzmeyer Stephen McAleer João F. Henriques Jakob N. Foerster Philip Torr Adel Bibi Christian Schroeder de Witt AAML 78 8 0 20 Jul 2022
Correntropy-Based Logistic Regression with Automatic Relevance Determination for Robust Sparse Brain Activity Decoding Yuanhao Li Badong Chen Yuxi Shi N. Yoshimura Yasuharu Koike 48 4 0 20 Jul 2022
Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent space Alejandro Guerrero-López C. Sevilla-Salcedo Vanessa Gómez-Verdejo Pablo Martínez Olmos DRL 47 1 0 19 Jul 2022
Gradient-based data and parameter dimension reduction for Bayesian models: an information theoretic perspective Ricardo Baptista Youssef Marzouk O. Zahm 74 14 0 18 Jul 2022
Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors Gianluca Detommaso Alberto Gasparin A. Wilson Cédric Archambeau UQCV BDL 78 3 0 17 Jul 2022
Spin glass systems as collective active inference Conor Heins Brennan Klein Daphne Demekas Miguel Aguilera Christopher L. Buckley 142 16 0 14 Jul 2022
BR-SNIS: Bias Reduced Self-Normalized Importance Sampling Gabriel Victorino Cardoso S. Samsonov Achille Thin Eric Moulines Jimmy Olsson 67 9 0 13 Jul 2022
The Free Energy Principle for Perception and Action: A Deep Learning Perspective Pietro Mazzaglia Tim Verbelen Ozan Çatal Bart Dhoedt DRL AI4CE 70 33 0 13 Jul 2022
Expert Elicitation and Data Noise Learning for Material Flow Analysis using Bayesian Inference Jiayuan Dong Jiankan Liao Xun Huan Daniel R. Cooper 27 7 0 13 Jul 2022
Scalable Bayesian Inference for Detection and Deblending in Astronomical Images Derek Hansen I. Mendoza Runjing Liu Ziteng Pang Zhenjun Zhao Camille Avestruz Jeffrey Regier 40 5 0 12 Jul 2022
Sparse Dynamic Factor Models with Loading Selection by Variational Inference Erik Spaanberg 11 0 0 11 Jul 2022
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions Heiner Kremer Jia-Jie Zhu Krikamol Muandet Bernhard Schölkopf 82 8 0 11 Jul 2022
Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study Tom Huix Szymon Majewski Alain Durmus Eric Moulines Anna Korba BDL 52 6 0 08 Jul 2022
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style Zhuo Huang Xiaobo Xia Li Shen Bo Han Biwei Huang Chen Gong Tongliang Liu OODD 79 47 0 07 Jul 2022
Improved conformalized quantile regression Martim Sousa Ana Maria Tomé José Manuel Moreira 145 6 0 06 Jul 2022
Variational Flow Graphical Model Shaogang Ren Belhal Karimi Dingcheng Li Ping Li 96 4 0 06 Jul 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems Manuela Brenner Florian Hess Jonas M. Mikhaeil Leonard Bereska Zahra Monfared Po-Chen Kuo Daniel Durstewitz AI4CE 313 33 0 06 Jul 2022
Variational Inference of Dynamic Factor Models with Arbitrary Missing Data Erik Spaanberg 10 2 0 05 Jul 2022
Variational Neural Networks Illia Oleksiienko D. Tran Alexandros Iosifidis BDL UQCV 67 8 0 04 Jul 2022