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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
Variational Autoencoder Leveraged MMSE Channel Estimation Michael Baur B. Fesl M. Koller Wolfgang Utschick 66 20 0 11 May 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection Thomas Power Dmitry Berenson 86 32 0 10 May 2022
A Probabilistic Generative Model of Free Categories Eli Sennesh T. Xu Y. Maruyama 57 0 0 09 May 2022
Optimal Lighting Control in Greenhouses Using Bayesian Neural Networks for Sunlight Prediction Shirin Afzali Yajie Bao M. V. Iersel J. Mohammadpour 3DV 46 2 0 07 May 2022
Generative methods for sampling transition paths in molecular dynamics T. Lelièvre Geneviève Robin Inass Sekkat G. Stoltz Gabriel Victorino Cardoso GAN 48 9 0 05 May 2022
A Deep Learning Approach to Dst Index Prediction Yasser Abduallah Jinqiao Wang Prianka Bose Genwei Zhang Firas Gerges Haimin Wang AI4TS 91 1 0 05 May 2022
Modelling calibration uncertainty in networks of environmental sensors M. Smith M. Ross Joel Ssematimba Pablo A. Alvarado Mauricio A. Alvarez Engineer Bainomugisha R. Wilkinson 29 3 0 04 May 2022
VICE: Variational Interpretable Concept Embeddings Lukas Muttenthaler C. Zheng Patrick McClure Robert A. Vandermeulen M. Hebart Francisco Câmara Pereira 89 17 0 02 May 2022
An Application to Generate Style Guided Compatible Outfit Debopriyo Banerjee Harsh Maheshwari Lucky Dhakad Arnab Bhattacharya Niloy Ganguly M. Chelliah Suyash Agarwal 90 0 0 02 May 2022
Cluster-based Regression using Variational Inference and Applications in Financial Forecasting Udai G. Nagpal K. Nagpal 78 1 0 02 May 2022
Actor Heterogeneity and Explained Variance in Network Models -- A Scalable Approach through Variational Approximations Nadja Klein Goran Kauermann 33 0 0 29 Apr 2022
Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions Niladri Das J. Duersch Thomas A. Catanach 27 0 0 27 Apr 2022
A PAC-Bayes oracle inequality for sparse neural networks Maximilian F. Steffen Mathias Trabs UQCV 65 2 0 26 Apr 2022
Online Deep Learning from Doubly-Streaming Data H. Lian John Scovil Atwood Bo-Jian Hou Jian Wu Yi He 55 11 0 25 Apr 2022
Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational Autoencoders V. Lauinger F. Buchali Laurent Schmalen 60 31 0 25 Apr 2022
The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models Cassidy Laidlaw Anca Dragan OffRL 67 39 0 22 Apr 2022
Choosing the number of factors in factor analysis with incomplete data via a hierarchical Bayesian information criterion Jianhua Zhao Changchun Shang Shulan Li Ling Xin Philip L. H. Yu 19 2 0 19 Apr 2022
A stochastic Stein Variational Newton method Alex Leviyev Joshua Chen Yifei Wang Omar Ghattas A. Zimmerman 63 9 0 19 Apr 2022
Visual Attention Methods in Deep Learning: An In-Depth Survey Mohammed Hassanin Saeed Anwar Ibrahim Radwan Fahad Shahbaz Khan Ajmal Mian 136 166 0 16 Apr 2022
A Variational Approach to Bayesian Phylogenetic Inference Cheng Zhang IV FrederickA.Matsen BDL 77 18 0 16 Apr 2022
Variational Heteroscedastic Volatility Model Zexuan Yin P. Barucca AI4TS 56 0 0 11 Apr 2022
Bayesian Adaptive Selection of Basis Functions for Functional Data Representation P. H. T. O. Sousa Camila P. E. de Souza Ronaldo Dias 36 9 0 06 Apr 2022
Discretely Indexed Flows Elouan Argouarc'h Franccois Desbouvries Eric Barat Eiji Kawasaki T. Dautremer 45 0 0 04 Apr 2022
Variational message passing for online polynomial NARMAX identification Wouter M. Kouw Albert Podusenko Magnus T. Koudahl Maarten Schoukens 34 4 0 02 Apr 2022
Scalable Semi-Modular Inference with Variational Meta-Posteriors Chris U. Carmona Geoff K. Nicholls 56 11 0 01 Apr 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition Randy Ardywibowo Shahin Boluki Zhangyang Wang Bobak J. Mortazavi Shuai Huang Xiaoning Qian 43 2 0 31 Mar 2022
Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data Filipa Valdeira Ricardo Ferreira Alessandra Micheletti Cláudia Soares 49 0 0 26 Mar 2022
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 56 3 0 25 Mar 2022
Estimating Social Influence from Observational Data Dhanya Sridhar Caterina De Bacco David M. Blei 71 3 0 24 Mar 2022
Robust Coordinate Ascent Variational Inference with Markov chain Monte Carlo simulations N. Dey Emmett B. Kendall BDL 15 0 0 23 Mar 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents Alessandro Barp Lancelot Da Costa G. Francca Karl J. Friston Mark Girolami Michael I. Jordan G. Pavliotis 97 25 0 20 Mar 2022
A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent Variable Models Belhal Karimi Ping Li BDL 29 0 0 18 Mar 2022
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies Shachi Deshpande Kaiwen Wang Dhruv Sreenivas Zheng Li Volodymyr Kuleshov CML SyDa 77 11 0 18 Mar 2022
The TAP free energy for high-dimensional linear regression Jia Qiu Subhabrata Sen 66 8 0 14 Mar 2022
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies Alex J. Chan Alicia Curth M. Schaar CML OffRL 77 8 0 14 Mar 2022
Modelling variability in vibration-based PBSHM via a generalised population form T. Dardeno L. Bull Robin S. Mills N. Dervilis Keith Worden 89 4 0 14 Mar 2022
Flexible Amortized Variational Inference in qBOLD MRI Ivor J. A. Simpson Ashley McManamon Balázs Örzsik A. Stone N. Blockley Iris Asllani A. Colasanti M. Cercignani 26 0 0 11 Mar 2022
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks Nan Ding Xi Chen Tomer Levinboim Soravit Changpinyo Radu Soricut 79 30 0 10 Mar 2022
Variational Inference with Locally Enhanced Bounds for Hierarchical Models Tomas Geffner Justin Domke 79 5 0 08 Mar 2022
Variational methods for simulation-based inference Manuel Glöckler Michael Deistler Jakob H. Macke 279 51 0 08 Mar 2022
Bayesian Bilinear Neural Network for Predicting the Mid-price Dynamics in Limit-Order Book Markets M. Magris M. Shabani Alexandros Iosifidis 74 10 0 07 Mar 2022
Influencing Long-Term Behavior in Multiagent Reinforcement Learning Dong-Ki Kim Matthew D Riemer Miao Liu Jakob N. Foerster Michael Everett Chuangchuang Sun Gerald Tesauro Jonathan P. How 153 21 0 07 Mar 2022
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference Luca Rendsburg Agustinus Kristiadi Philipp Hennig U. V. Luxburg 69 2 0 07 Mar 2022
Differentiable Causal Discovery Under Latent Interventions Gonccalo R. A. Faria André F. T. Martins Mário A. T. Figueiredo BDL CML OOD 95 23 0 04 Mar 2022
Robust PAC $^m$ : Training Ensemble Models Under Misspecification and Outliers Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 97 5 0 03 Mar 2022
Hyperspectral Pixel Unmixing with Latent Dirichlet Variational Autoencoder Kiran Mantripragada Faisal Z. Qureshi 84 35 0 02 Mar 2022
VaiPhy: a Variational Inference Based Algorithm for Phylogeny Hazal Koptagel Oskar Kviman Harald Melin Negar Safinianaini J. Lagergren 65 19 0 01 Mar 2022
Bayesian Active Learning for Discrete Latent Variable Models Aditi Jha Zoe C. Ashwood Jonathan W. Pillow 85 7 0 27 Feb 2022
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework Runzhe Wan Linjuan Ge Rui Song 69 14 0 26 Feb 2022
Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function O. Richardson 89 6 0 24 Feb 2022