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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
Prediction and Uncertainty Quantification of SAFARI-1 Axial Neutron Flux Profiles with Neural Networks L. Moloko P. Bokov Xu Wu K. Ivanov 33 9 0 16 Nov 2022
Orthogonal Polynomials Approximation Algorithm (OPAA):a functional analytic approach to estimating probability densities Lilian W. Bialokozowicz TPM 84 0 0 16 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 126 10 0 14 Nov 2022
Towards Improved Learning in Gaussian Processes: The Best of Two Worlds Marcus Klasson S. T. John Arno Solin BDL GP 46 0 0 11 Nov 2022
Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors Yilin Zhuang Zhuobin Zhou Burak Alakent Mehmet Mercangöz DRL 55 0 0 11 Nov 2022
TreeFlow: probabilistic programming and automatic differentiation for phylogenetics Christiaan J. Swanepoel Mathieu Fourment Xiang Ji Hassan Nasif M. Suchard IV FrederickAMatsen A. Drummond AI4CE 36 3 0 09 Nov 2022
$Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty$ Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty Nathan Wycoff Ali Arab Katharine M. Donato Lisa O. Singh 73 3 0 09 Nov 2022
Graph Contrastive Learning with Implicit Augmentations Huidong Liang Xingjian Du Bilei Zhu Zejun Ma Ke Chen Junbin Gao 91 30 0 07 Nov 2022
Isotropic Gaussian Processes on Finite Spaces of Graphs Viacheslav Borovitskiy Mohammad Reza Karimi Vignesh Ram Somnath Andreas Krause 101 7 0 03 Nov 2022
Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics Hany Abdulsamad Peter Nickl Pascal Klink Jan Peters 61 1 0 02 Nov 2022
Deep Generative Models on 3D Representations: A Survey Zifan Shi Sida Peng Yinghao Xu Andreas Geiger Yiyi Liao Yujun Shen MedIm 3DV 102 0 0 27 Oct 2022
Multimodal Generative Models for Bankruptcy Prediction Using Textual Data R. A. Mancisidor K. Aas 53 0 0 26 Oct 2022
Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise Wenbo Gong Joel Jennings Chen Zhang Nick Pawlowski AI4TS CML 92 28 0 26 Oct 2022
Manifold Gaussian Variational Bayes on the Precision Matrix M. Magris M. Shabani Alexandros Iosifidis 83 2 0 26 Oct 2022
Vitruvio: 3D Building Meshes via Single Perspective Sketches Alberto Tono Heyaojing Huang Ashwin Agrawal Martin Fischer 52 5 0 24 Oct 2022
Learning Latent Structural Causal Models Jithendaraa Subramanian Yashas Annadani Ivaxi Sheth Nan Rosemary Ke T. Deleu Stefan Bauer Derek Nowrouzezahrai Samira Ebrahimi Kahou CML 94 7 0 24 Oct 2022
Sampling with Mollified Interaction Energy Descent Lingxiao Li Qiang Liu Anna Korba Mikhail Yurochkin Justin Solomon 79 17 0 24 Oct 2022
On Representations of Mean-Field Variational Inference Soumyadip Ghosh Ying-Ling Lu T. Nowicki Edith Zhang 55 1 0 20 Oct 2022
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery Joshua C. Chang Carson C. Chow Julia Porcino 77 1 0 20 Oct 2022
Transport Elliptical Slice Sampling A. Cabezas Christopher Nemeth 81 10 0 19 Oct 2022
Propagating Variational Model Uncertainty for Bioacoustic Call Label Smoothing Georgios Rizos J. Lawson Simon Mitchell Pranay Shah Xin Wen Cristina Banks‐Leite R. Ewers Bjoern W. Schuller UQCV 62 2 0 19 Oct 2022
Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection Lorenzo Perini Paul-Christian Buerkner Arto Klami 84 16 0 19 Oct 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization Qishi Dong Muhammad Awais Fengwei Zhou Chuanlong Xie Tianyang Hu Yongxin Yang Sung-Ho Bae Zhenguo Li OODD VLM 115 14 0 17 Oct 2022
Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization Jim Beckers Bart Van Erp Ziyue Zhao K. Kondrashov Bert De Vries AAML 73 6 0 17 Oct 2022
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints Jiayu Huang Yutian Pang Yongming Liu Hao Yan BDL UQCV 66 15 0 16 Oct 2022
Coordinated Topic Modeling Pritom Saha Akash Jie Huang Kevin Chen-Chuan Chang 74 1 0 16 Oct 2022
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty Luning Sun Daniel Zhengyu Huang Hao Sun Jian-Xun Wang 75 10 0 14 Oct 2022
A Variational Perspective on Generative Flow Networks Heiko Zimmermann Fredrik Lindsten Jan-Willem van de Meent C. A. Naesseth 92 37 0 14 Oct 2022
Joint control variate for faster black-box variational inference Xi Wang Tomas Geffner Justin Domke BDL DRL 67 0 0 13 Oct 2022
Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference R. Khabibullin S. Seleznev 63 1 0 13 Oct 2022
Dirichlet process mixture models for non-stationary data streams Ioar Casado Aritz Pérez Martínez 46 0 0 13 Oct 2022
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics Kamélia Daudel Joe Benton Yuyang Shi Arnaud Doucet DRL 76 11 0 12 Oct 2022
Toward Sustainable Continual Learning: Detection and Knowledge Repurposing of Similar Tasks Sijia Wang Yoojin Choi Junya Chen Mostafa El-Khamy Ricardo Henao CLL 64 0 0 11 Oct 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 126 39 0 10 Oct 2022
Latent Neural ODEs with Sparse Bayesian Multiple Shooting V. Iakovlev Çağatay Yıldız Markus Heinonen Harri Lähdesmäki BDL 72 11 0 07 Oct 2022
Approximate Methods for Bayesian Computation Radu V. Craiu Evgeny Levi 70 5 0 06 Oct 2022
Scaling up Stochastic Gradient Descent for Non-convex Optimisation S. Mohamad H. Alamri A. Bouchachia 85 3 0 06 Oct 2022
Probabilistic partition of unity networks for high-dimensional regression problems Tiffany Fan N. Trask M. DÉlia Eric F. Darve 70 1 0 06 Oct 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture M. Jung He Zhao Joanna Dipnall Lan Du Lan Du UQCV EDL 96 12 0 06 Oct 2022
Adaptive Synaptic Failure Enables Sampling from Posterior Predictive Distributions in the Brain Kevin L McKee Ian C Crandell Rishidev Chaudhuri R. C. O'Reilly 14 0 0 04 Oct 2022
Ten Years after ImageNet: A 360° Perspective on AI Sanjay Chawla Preslav Nakov Ahmed Ali Wendy Hall Issa M. Khalil Xiaosong Ma Husrev Taha Sencar Ingmar Weber Michael Wooldridge Tingyue Yu 31 0 0 01 Oct 2022
Structured Optimal Variational Inference for Dynamic Latent Space Models Penghui Zhao A. Bhattacharya D. Pati Bani Mallick BDL 82 1 0 29 Sep 2022
How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences Mikolaj Kasprzak Ryan Giordano Tamara Broderick 72 0 0 29 Sep 2022
Bayesian Neural Network Versus Ex-Post Calibration For Prediction Uncertainty Satya Borgohain Klaus Ackermann Rubén Loaiza-Maya BDL UQCV 20 0 0 29 Sep 2022
Correcting the Sub-optimal Bit Allocation Tongda Xu Han-yi Gao Yuanyuan Wang Hongwei Qin Yan Wang Jingjing Liu Ya Zhang 70 1 0 29 Sep 2022
Variational Bayes for robust radar single object tracking Alp Sari Takuhiro Kaneko Lense H. M. Swaenen Wouter M. Kouw 13 0 0 28 Sep 2022
Optimization of Annealed Importance Sampling Hyperparameters Shirin Goshtasbpour Fernando Perez-Cruz 69 1 0 27 Sep 2022
Amortized Variational Inference: A Systematic Review Ankush Ganguly Sanjana Jain Ukrit Watchareeruetai 92 17 0 22 Sep 2022
Robust Information Bottleneck for Task-Oriented Communication with Digital Modulation Songjie Xie Shuaijie Ma Ming Ding Yuanming Shi Ming-Fu Tang Youlong Wu 117 74 0 21 Sep 2022
Variational Inference for Infinitely Deep Neural Networks Achille Nazaret David M. Blei BDL 100 11 0 21 Sep 2022