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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
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 85 15 0 01 Jul 2022
Variational Inference for Additive Main and Multiplicative Interaction Effects Models A. A. L. D. Santos R. Moral Danilo A. Sarti Andrew C. Parnell 52 2 0 29 Jun 2022
Strong Lensing Source Reconstruction Using Continuous Neural Fields S. Mishra-Sharma Ge Yang 135 13 0 29 Jun 2022
Can Push-forward Generative Models Fit Multimodal Distributions? Antoine Salmona Valentin De Bortoli J. Delon A. Desolneux DiffM 90 39 0 29 Jun 2022
Bayesian Multi-task Variable Selection with an Application to Differential DAG Analysis Guanxun Li Quan Zhou 65 1 0 28 Jun 2022
Reconstructing the Universe with Variational self-Boosted Sampling Chirag Modi Yin Li David M. Blei 38 9 0 28 Jun 2022
The split Gibbs sampler revisited: improvements to its algorithmic structure and augmented target distribution Marcelo Pereyra L. Mieles K. Zygalakis 119 7 0 28 Jun 2022
Quantification of Deep Neural Network Prediction Uncertainties for VVUQ of Machine Learning Models M. Yaseen Xu Wu AI4CE 68 15 0 27 Jun 2022
Self-supervised Learning in Remote Sensing: A Review Yi Wang C. Albrecht Nassim Ait Ali Braham Lichao Mou Xiao Xiang Zhu 165 229 0 27 Jun 2022
A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes T. Dardeno L. Bull N. Dervilis Keith Worden 130 0 0 23 Jun 2022
How to Combine Variational Bayesian Networks in Federated Learning Atahan Ozer Kadir Burak Buldu Abdullah Akgul Gözde B. Ünal FedML 95 6 0 22 Jun 2022
Bayesian non-conjugate regression via variational message passing C. Castiglione M. Bernardi 55 0 0 19 Jun 2022
Spherical Sliced-Wasserstein Clément Bonet P. Berg Nicolas Courty Françcois Septier Lucas Drumetz Minh Pham 95 27 0 17 Jun 2022
Bayesian conjugacy in probit, tobit, multinomial probit and extensions: A review and new results Niccolò Anceschi A. Fasano Daniele Durante Giacomo Zanella 87 18 0 16 Jun 2022
Personalized Federated Learning via Variational Bayesian Inference Xu Zhang Yinchuan Li Wenpeng Li Kaiyang Guo Yunfeng Shao FedML 102 91 0 16 Jun 2022
Bayesian Learning of Parameterised Quantum Circuits Samuel Duffield Marcello Benedetti Matthias Rosenkranz 60 11 0 15 Jun 2022
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients Kyurae Kim Jisu Oh Jacob R. Gardner Adji Bousso Dieng Hongseok Kim BDL 95 8 0 13 Jun 2022
SIXO: Smoothing Inference with Twisted Objectives Dieterich Lawson Allan Raventós Andrew Warrington Scott W. Linderman BDL 269 15 0 13 Jun 2022
Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations Shailesh Garg S. Chakraborty 118 6 0 12 Jun 2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks Daiwei Zhang Tianci Liu Jian Kang BDL UQCV 73 3 0 12 Jun 2022
Causal Balancing for Domain Generalization Xinyi Wang Michael Stephen Saxon Jiachen Li Hongyang R. Zhang Kun Zhang William Yang Wang OOD CML 115 23 0 10 Jun 2022
ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning Haozhe Jasper Wang Chao Du Panyan Fang Shuo Yuan Xu-Jiang He Liang Wang Bo Zheng 128 12 0 10 Jun 2022
PAVI: Plate-Amortized Variational Inference Louis Rouillard Thomas Moreau Demian Wassermann 46 1 0 10 Jun 2022
GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions Ryan Lopez P. Atzberger AI4CE 119 8 0 10 Jun 2022
Probability flow solution of the Fokker-Planck equation Nicholas M. Boffi Eric Vanden-Eijnden 120 47 0 09 Jun 2022
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation Yuxin Li Hang Zhou Yibo Gao Xiahai Zhuang BDL 39 4 0 09 Jun 2022
Model Selection in Variational Mixed Effects Models M. Meyer Selina Carter E. Malloy 25 0 0 08 Jun 2022
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics Noga Mudrik Yenho Chen Eva Yezerets Christopher Rozell Adam S. Charles 103 16 0 07 Jun 2022
Neural network model for imprecise regression with interval dependent variables K. Tretiak G. Schollmeyer S. Ferson 67 14 0 06 Jun 2022
Tackling covariate shift with node-based Bayesian neural networks Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski BDL UQCV 70 6 0 06 Jun 2022
Diffusion-GAN: Training GANs with Diffusion Zhendong Wang Huangjie Zheng Pengcheng He Weizhu Chen Mingyuan Zhou DiffM 92 235 0 05 Jun 2022
Factored Conditional Filtering: Tracking States and Estimating Parameters in High-Dimensional Spaces Dawei Chen Samuel Yang-Zhao John Lloyd K. S. Ng AI4TS 50 1 0 05 Jun 2022
BaCaDI: Bayesian Causal Discovery with Unknown Interventions Alexander Hagele Jonas Rothfuss Lars Lorch Vignesh Ram Somnath Bernhard Schölkopf Andreas Krause CML BDL 123 22 0 03 Jun 2022
Masked Bayesian Neural Networks : Computation and Optimality Insung Kong Dongyoon Yang Jongjin Lee Ilsang Ohn Yongdai Kim TPM 53 1 0 02 Jun 2022
Progressive Purification for Instance-Dependent Partial Label Learning Ning Xu Biao Liu Jiaqi Lv Congyu Qiao Xin Geng 99 19 0 02 Jun 2022
Bayesian Inference for the Multinomial Probit Model under Gaussian Prior Distribution A. Fasano Giovanni Rebaudo Niccolò Anceschi 195 1 0 01 Jun 2022
Easy Variational Inference for Categorical Models via an Independent Binary Approximation M. Wojnowicz Shuchin Aeron Eric L. Miller M. C. Hughes 68 2 0 31 May 2022
Variational inference via Wasserstein gradient flows Marc Lambert Sinho Chewi Francis R. Bach Silvère Bonnabel Philippe Rigollet BDL DRL 106 77 0 31 May 2022
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference R. Grumitt B. Dai U. Seljak BDL 114 13 0 27 May 2022
EvoVGM: a Deep Variational Generative Model for Evolutionary Parameter Estimation Amine M. Remita Abdoulaye Baniré Diallo BDL 38 0 0 25 May 2022
Amortized Inference for Causal Structure Learning Lars Lorch Scott Sussex Jonas Rothfuss Andreas Krause Bernhard Schölkopf CML 118 65 0 25 May 2022
Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs Çağatay Yıldız M. Kandemir Barbara Rakitsch 135 12 0 24 May 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 128 14 0 23 May 2022
Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning M. Magris M. Shabani Alexandros Iosifidis BDL 77 4 0 23 May 2022
RL with KL penalties is better viewed as Bayesian inference Tomasz Korbak Ethan Perez Christopher L. Buckley OffRL 96 77 0 23 May 2022
Deep Direct Discriminative Decoders for High-dimensional Time-series Data Analysis Mohammadreza Rezaei Milos R. Popovic M. Lankarany Ali Yousefi AI4TS 143 0 0 22 May 2022
Foundation Posteriors for Approximate Probabilistic Inference Mike Wu Noah D. Goodman UQCV 94 6 0 19 May 2022
Variational Inference for Bayesian Bridge Regression C. P. Zanini H. Migon Ronaldo Dias 29 0 0 19 May 2022
MixFlows: principled variational inference via mixed flows Zuheng Xu Na Chen Trevor Campbell 142 9 0 16 May 2022
Fast Conditional Network Compression Using Bayesian HyperNetworks Phuoc Nguyen T. Tran Ky Le Sunil R. Gupta Santu Rana Dang Nguyen Trong Nguyen S. Ryan Svetha Venkatesh BDL 54 7 0 13 May 2022