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Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

50 / 1,838 papers shown

Title
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization R. Rathnakumar Yutian Pang Yongming Liu 80 9 0 14 Feb 2023
Fixing Overconfidence in Dynamic Neural Networks Lassi Meronen Martin Trapp Andrea Pilzer Le Yang Arno Solin BDL 127 16 0 13 Feb 2023
Event Temporal Relation Extraction with Bayesian Translational Model Xingwei Tan Gabriele Pergola Yulan He AI4TS 90 12 0 10 Feb 2023
Structured variational approximations with skew normal decomposable graphical models Roberto Salomone Xue Yu David J. Nott Robert Kohn 79 2 0 07 Feb 2023
Improving Interpretability via Explicit Word Interaction Graph Layer Arshdeep Sekhon Hanjie Chen A. Shrivastava Zhe Wang Yangfeng Ji Yanjun Qi AI4CE MILM 73 6 0 03 Feb 2023
GFlowNets for AI-Driven Scientific Discovery Moksh Jain T. Deleu Jason S. Hartford Cheng-Hao Liu Alex Hernandez-Garcia Yoshua Bengio AI4CE 99 55 0 01 Feb 2023
Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization JIAN-PENG Cao Myeongjong Kang Felix Jimenez H. Sang Florian Schäfer Matthias Katzfuss 73 7 0 30 Jan 2023
Probabilistic Neural Data Fusion for Learning from an Arbitrary Number of Multi-fidelity Data Sets Carlos Mora J. Eweis-Labolle Tyler B. Johnson Likith Gadde Ramin Bostanabad AI4CE 44 11 0 30 Jan 2023
Deep networks for system identification: a Survey G. Pillonetto Aleksandr Aravkin Daniel Gedon L. Ljung Antônio H. Ribeiro Thomas B. Schon OOD 111 45 0 30 Jan 2023
Machine Learning with High-Cardinality Categorical Features in Actuarial Applications Benjamin Avanzi G. Taylor Melantha Wang Bernard Wong 93 13 0 30 Jan 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data Mengxi Wu Mohammad Rostami AI4CE 91 3 0 29 Jan 2023
Improving the Inference of Topic Models via Infinite Latent State Replications Daniel Rugeles Zhen Hai Juan Felipe Carmona M. Dash Gao Cong BDL 52 1 0 25 Jan 2023
Counterfactual (Non-)identifiability of Learned Structural Causal Models Arash Nasr-Esfahany Emre Kıcıman 79 12 0 22 Jan 2023
Projective Integral Updates for High-Dimensional Variational Inference J. Duersch 84 1 0 20 Jan 2023
Physics-informed Information Field Theory for Modeling Physical Systems with Uncertainty Quantification A. Alberts Ilias Bilionis 109 13 0 18 Jan 2023
On the role of Model Uncertainties in Bayesian Optimization Jonathan Foldager Mikkel Jordahn Lars Kai Hansen Michael Riis Andersen 175 5 0 14 Jan 2023
Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes Xuezhen Li Can M. Le 110 0 0 12 Jan 2023
Bayesian Additive Main Effects and Multiplicative Interaction Models using Tensor Regression for Multi-environmental Trials A. A. L. D. Santos Danilo A. Sarti R. Moral Andrew C. Parnell 21 0 0 09 Jan 2023
Fast and Correct Gradient-Based Optimisation for Probabilistic Programming via Smoothing Basim Khajwal C.-H. Luke Ong Dominik Wagner 37 4 0 09 Jan 2023
Skewed Bernstein-von Mises theorem and skew-modal approximations Daniele Durante Francesco Pozza Botond Szabó 127 12 0 08 Jan 2023
On the Approximation Accuracy of Gaussian Variational Inference A. Katsevich Philippe Rigollet 87 17 0 05 Jan 2023
Introducing Variational Inference in Statistics and Data Science Curriculum Vojtech Kejzlar Jingchen Hu 117 3 0 03 Jan 2023
A Tutorial on Parametric Variational Inference Jens Sjölund BDL 70 6 0 03 Jan 2023
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise H. A. Mehrtens Alexander Kurz Tabea-Clara Bucher T. Brinker OOD UQCV 279 11 0 03 Jan 2023
Posterior Collapse and Latent Variable Non-identifiability Yixin Wang David M. Blei John P. Cunningham CML DRL 152 75 0 02 Jan 2023
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion M. Izzatullah T. Alkhalifah J. Romero M. Corrales N. Luiken M. Ravasi 84 2 0 30 Dec 2022
Local Policy Improvement for Recommender Systems Dawen Liang N. Vlassis OffRL 54 5 0 22 Dec 2022
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression D. Nieman Botond Szabó Harry Van Zanten 144 5 0 21 Dec 2022
Probabilistic quantile factor analysis Dimitris Korobilis Maximilian Schroder 67 4 0 20 Dec 2022
Accelerated structured matrix factorization Lorenzo Schiavon Bernardo Nipoti A. Canale 149 2 0 13 Dec 2022
Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation Giorgio Morales John W. Sheppard 79 5 0 13 Dec 2022
Efficient Bayesian Uncertainty Estimation for nnU-Net Yidong Zhao Changchun Yang Artur M. Schweidtmann Qian Tao UQCV BDL 64 22 0 12 Dec 2022
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization Xu Cai Chaobing Song Stephen J. Wright Jelena Diakonikolas 87 14 0 09 Dec 2022
PRISM: Probabilistic Real-Time Inference in Spatial World Models Atanas Mirchev Baris Kayalibay Ahmed Agha Patrick van der Smagt Zorah Lähner Justin Bayer VGen 71 0 0 06 Dec 2022
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense Bao Gia Doan Ehsan Abbasnejad Javen Qinfeng Shi Damith Ranashinghe AAML OOD 87 8 0 05 Dec 2022
Variational Inference for Semiparametric Bayesian Novelty Detection in Large Datasets L. Benedetti Eric Boniardi Leonardo Chiani Jacopo Ghirri Marta Mastropietro A. Cappozzo Francesco Denti 65 0 0 04 Dec 2022
Interpretable Node Representation with Attribute Decoding Xiaohui Chen Xi Chen Liping Liu 82 4 0 03 Dec 2022
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires J. Dabrowski D. Pagendam J. Hilton Conrad Sanderson Dan MacKinlay C. Huston Andrew Bolt Petra Kuhnert PINN 125 20 0 02 Dec 2022
High-dimensional density estimation with tensorizing flow Yinuo Ren Hongli Zhao Y. Khoo Lexing Ying 69 9 0 01 Dec 2022
PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison H. Flynn David Reeb M. Kandemir Jan Peters OffRL 85 7 0 29 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 71 6 0 27 Nov 2022
Particle-based Variational Inference with Preconditioned Functional Gradient Flow Hanze Dong Xi Wang Yong Lin Tong Zhang 100 20 0 25 Nov 2022
Learning and Testing Latent-Tree Ising Models Efficiently Davin Choo Y. Dagan C. Daskalakis Anthimos Vardis Kandiros 96 8 0 23 Nov 2022
Neural Superstatistics for Bayesian Estimation of Dynamic Cognitive Models Lukas Schumacher Paul-Christian Bürkner A. Voss Ullrich Kothe Stefan T. Radev 42 12 0 23 Nov 2022
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning Xiaobao Wu Anh Tuan Luu Xinshuai Dong 124 45 0 23 Nov 2022
$β$ -Multivariational Autoencoder for Entangled Representation Learning in Video Frames F. Nouri R. Bergevin 58 0 0 22 Nov 2022
Bayesian Learning for Neural Networks: an algorithmic survey M. Magris Alexandros Iosifidis BDL DRL 133 78 0 21 Nov 2022
Moment Propagation J. Ormerod Weichang Yu 88 0 0 21 Nov 2022
MEESO: A Multi-objective End-to-End Self-Optimized Approach for Automatically Building Deep Learning Models Thanh-Phuong Pham 52 0 0 20 Nov 2022
Introduction and Exemplars of Uncertainty Decomposition Shuo Chen UD UQCV PER 72 1 0 17 Nov 2022