v1v2v3v4v5v6v7v8v9 (latest)

Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

50 / 1,838 papers shown

Title
Fast methods for posterior inference of two-group normal-normal models P. Greengard J. Hoskins Charles C.Margossian Andrew Gelman Aki Vehtari 52 1 0 06 Oct 2021
Relative Entropy Gradient Sampler for Unnormalized Distributions Xingdong Feng Yuan Gao Jian Huang Yuling Jiao Xu Liu 90 7 0 06 Oct 2021
Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation D. Yao S. Mclaughlin Y. Altmann 49 6 0 04 Oct 2021
ALBU: An approximate Loopy Belief message passing algorithm for LDA to improve performance on small data sets Rebecca M. C. Taylor J. D. Preez 31 0 0 01 Oct 2021
Variational Marginal Particle Filters Jinlin Lai Justin Domke Daniel Sheldon 95 9 0 30 Sep 2021
Variational Inference for Continuous-Time Switching Dynamical Systems Lukas Kohs Bastian Alt Heinz Koeppl 91 8 0 29 Sep 2021
An Automated Approach to Causal Inference in Discrete Settings Guilherme Duarte N. Finkelstein D. Knox Jonathan Mummolo I. Shpitser 96 49 0 28 Sep 2021
Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning Junyu Xuan Jie Lu Guangquan Zhang BDL 453 7 0 27 Sep 2021
Anomalous Edge Detection in Edge Exchangeable Social Network Models Rui Luo Buddhika Nettasinghe Vikram Krishnamurthy 185 18 0 27 Sep 2021
Bayesian non-parametric non-negative matrix factorization for pattern identification in environmental mixtures E. Gibson S. Rowland Jeff Goldsmith John Paisley J. Herbstman Marianthi-Anna Kiourmourtzoglou 13 2 0 24 Sep 2021
Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing Haoyu He Xingjian Shi Jonas W. Mueller Zha Sheng Mu Li George Karypis 69 9 0 23 Sep 2021
Enriching and Controlling Global Semantics for Text Summarization Thong Nguyen Anh Tuan Luu Truc Lu Tho Quan 48 35 0 22 Sep 2021
Active inference, Bayesian optimal design, and expected utility Noor Sajid Lancelot Da Costa Thomas Parr Karl J. Friston 63 16 0 21 Sep 2021
Deep Learning-Based Estimation and Goodness-of-Fit for Large-Scale Confirmatory Item Factor Analysis Christopher J. Urban Daniel J. Bauer CML 81 1 0 20 Sep 2021
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation Eric Heiden Chris Denniston David Millard Fabio Ramos Gaurav Sukhatme 85 22 0 18 Sep 2021
Knowledge is reward: Learning optimal exploration by predictive reward cashing L. Ambrogioni 29 0 0 17 Sep 2021
Inferential Wasserstein Generative Adversarial Networks Yao Chen Qingyi Gao Xiao Wang GAN 186 23 0 13 Sep 2021
Bayesian Topic Regression for Causal Inference M. Ahrens Julian Ashwin Jan-Peter Calliess Vu Nguyen OOD CML BDL 47 9 0 11 Sep 2021
Latent space projection predictive inference Alejandro Catalina Paul-Christian Bürkner Aki Vehtari BDL 53 11 0 10 Sep 2021
Leveraging Local Domains for Image-to-Image Translation Anthony DellÉva Fabio Pizzati Massimo Bertozzi Raoul de Charette 89 2 0 09 Sep 2021
Compositional Active Inference I: Bayesian Lenses. Statistical Games T. S. C. Smithe 68 13 0 09 Sep 2021
Relating Graph Neural Networks to Structural Causal Models Matej Zečević Devendra Singh Dhami Petar Velickovic Kristian Kersting AI4CE CML 134 56 0 09 Sep 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 80 84 0 08 Sep 2021
Latent Space Network Modelling with Hyperbolic and Spherical Geometries Marios Papamichalis K. Turnbull Simón Lunagómez E. Airoldi 35 1 0 07 Sep 2021
A Biologically Plausible Learning Rule for Perceptual Systems of organisms that Maximize Mutual Information Tao-Wen Liu 41 0 0 07 Sep 2021
Instance-dependent Label-noise Learning under a Structural Causal Model Yu Yao Tongliang Liu Biwei Huang Bo Han Gang Niu Kun Zhang CML NoLa 72 73 0 07 Sep 2021
Data-Driven Wind Turbine Wake Modeling via Probabilistic Machine Learning Sudharshan Ashwin Renganathan R. Maulik S. Letizia G. Iungo AI4CE 43 19 0 06 Sep 2021
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations Jianxiong Shen Adria Ruiz Antonio Agudo Francesc Moreno-Noguer BDL 131 70 0 05 Sep 2021
Top-N Recommendation with Counterfactual User Preference Simulation Mengyue Yang Quanyu Dai Zhenhua Dong Xu Chen Xiuqiang He Jun Wang CML BDL 122 68 0 02 Sep 2021
Task-Oriented Communication for Multi-Device Cooperative Edge Inference Jiawei Shao Yuyi Mao Jun Zhang 116 136 0 01 Sep 2021
A Mathematical Walkthrough and Discussion of the Free Energy Principle Beren Millidge A. Seth Christopher L. Buckley 60 9 0 30 Aug 2021
A theory of representation learning gives a deep generalisation of kernel methods Adam X. Yang Maxime Robeyns Edward Milsom Ben Anson Nandi Schoots Laurence Aitchison BDL 99 11 0 30 Aug 2021
An Introduction to Variational Inference Ankush Ganguly Samuel W. F. Earp BDL 93 21 0 30 Aug 2021
Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models Yu Wang Fan Liu Daniele E. Schiavazzi TPM BDL 51 14 0 28 Aug 2021
Modeling Item Response Theory with Stochastic Variational Inference Mike Wu R. Davis B. Domingue Chris Piech Noah D. Goodman CML 66 5 0 26 Aug 2021
Variational inference for cutting feedback in misspecified models Xue Yu David J. Nott M. Smith 73 14 0 25 Aug 2021
Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details Sanket Jantre Shrijita Bhattacharya T. Maiti BDL 88 14 0 25 Aug 2021
Variational Inference at Glacier Scale D. Brinkerhoff BDL 59 12 0 16 Aug 2021
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models Runzhe Wan Linjuan Ge Rui Song 75 29 0 13 Aug 2021
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints A. Nguyen Edward Raff Charles K. Nicholas James Holt 108 22 0 09 Aug 2021
Pathfinder: Parallel quasi-Newton variational inference Lu Zhang Bob Carpenter A. Gelman Aki Vehtari 138 41 0 09 Aug 2021
Bayesian Deep Learning for Partial Differential Equation Parameter Discovery with Sparse and Noisy Data Christophe Bonneville Christopher Earls 96 14 0 05 Aug 2021
A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities Shanaka Perera Virginia Aglietti Theodoros Damoulas 37 1 0 05 Aug 2021
Data-driven modeling of time-domain induced polarization Charles L. Bérubé P. Berube 31 3 0 30 Jul 2021
MLMOD: Machine Learning Methods for Data-Driven Modeling in LAMMPS P. Atzberger AI4CE 79 0 0 29 Jul 2021
Sparse approximation of triangular transports. Part II: the infinite dimensional case Jakob Zech Youssef Marzouk 83 19 0 28 Jul 2021
Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management Daniele Gammelli Yihua Wang Dennis Prak Filipe Rodrigues Stefan Minner Francisco Câmara Pereira AI4TS 49 36 0 28 Jul 2021
Predictive Coding: a Theoretical and Experimental Review Beren Millidge A. Seth Christopher L. Buckley AI4CE 91 134 0 27 Jul 2021
Generative Models for Security: Attacks, Defenses, and Opportunities L. A. Bauer Vincent Bindschaedler 110 4 0 21 Jul 2021
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics Guy Revach Nir Shlezinger Xiaoyong Ni Adrià López Escoriza Ruud J. G. van Sloun Yonina C. Eldar 108 293 0 21 Jul 2021