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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
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 218 10 0 27 Dec 2023
Explicit-Implicit Subgoal Planning for Long-Horizon Tasks with Sparse Reward Fangyuan Wang Anqing Duan Peng Zhou Shengzeng Huo Guodong Guo Chenguang Yang D. Navarro-Alarcon OffRL VLM 80 0 0 25 Dec 2023
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models Gianni Franchi Olivier Laurent Maxence Leguéry Andrei Bursuc Andrea Pilzer Angela Yao UQCV BDL 62 6 0 23 Dec 2023
Partially factorized variational inference for high-dimensional mixed models Max Goplerud O. Papaspiliopoulos Giacomo Zanella 45 7 0 20 Dec 2023
Online Variational Sequential Monte Carlo Alessandro Mastrototaro Jimmy Olsson BDL OffRL 85 3 0 19 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 160 3 0 19 Dec 2023
Bayesian Model Selection via Mean-Field Variational Approximation Yangfan Zhang Yun Yang 38 5 0 17 Dec 2023
Joint State Estimation and Noise Identification Based on Variational Optimization Hua Lan Shijie Zhao Jinjie Hu Zengfu Wang Jing-Zhi Fu 41 2 0 15 Dec 2023
Stein-MAP: A Sequential Variational Inference Framework for Maximum A Posteriori Estimation Min-Won Seo Solmaz S. Kia 68 2 0 14 Dec 2023
Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification Jamil Fayyad Shadi Alijani Homayoun Najjaran OOD 125 8 0 12 Dec 2023
Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems Yifei Zong D. Barajas-Solano A. Tartakovsky 81 2 0 11 Dec 2023
Sparse Variational Student-t Processes Jian Xu Delu Zeng 128 1 0 09 Dec 2023
Interpretable Mechanistic Representations for Meal-level Glycemic Control in the Wild Ke Alexander Wang Emily B. Fox DRL 58 0 0 06 Dec 2023
Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance SeungHwan An Sungchul Hong Jong-June Jeon 67 0 0 06 Dec 2023
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space Yiheng Jiang Sinho Chewi Aram-Alexandre Pooladian 197 10 0 05 Dec 2023
Revisiting Topic-Guided Language Models Carolina Zheng Keyon Vafa David M. Blei BDL 55 1 0 04 Dec 2023
Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers Guy Moss V. Višnjević Olaf Eisen Falk M. Oraschewski Cornelius Schroder Jakob H. Macke R. Drews 60 3 0 03 Dec 2023
Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registry Maren Hackenberg Michelle Pfaffenlehner Max Behrens Astrid Pechmann Janbernd Kirschner Harald Binder 57 0 0 01 Dec 2023
Auto-encoding GPS data to reveal individual and collective behaviour Saint-Clair Chabert-Liddell Nicolas Bez Pierre Gloaguen Sophie Donnet Stéphanie Mahévas 61 1 0 01 Dec 2023
Entropy and the Kullback-Leibler Divergence for Bayesian Networks: Computational Complexity and Efficient Implementation Marco Scutari 77 2 0 29 Nov 2023
Variational Bayes image restoration with compressive autoencoders Maud Biquard Marie Chabert Thomas Oberlin 78 2 0 29 Nov 2023
On the Impact of Sampling on Deep Sequential State Estimation Helena Calatrava R. Borsoi Tales Imbiriba Pau Closas BDL 35 0 0 28 Nov 2023
Variational Inference for the Latent Shrinkage Position Model Xian Yao Gwee I. C. Gormley Michael Fop 37 0 0 28 Nov 2023
A statistical approach to latent dynamic modeling with differential equations Maren Hackenberg Astrid Pechmann Clemens Kreutz Janbernd Kirschner Harald Binder 67 1 0 27 Nov 2023
Robust Errant Beam Prognostics with Conditional Modeling for Particle Accelerators Kishansingh Rajput Malachi Schram Willem Blokland Yasir Alanazi Pradeep Ramuhalli Alexander Zhukov Charles Peters Ricardo Vilalta 72 6 0 22 Nov 2023
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning Paul Scemama Ariel Kapusta 84 0 0 21 Nov 2023
Variational Elliptical Processes Maria B˙ankestad Jens Sjölund Jalil Taghia Thomas B. Schon 91 2 0 21 Nov 2023
hvEEGNet: exploiting hierarchical VAEs on EEG data for neuroscience applications Giulia Cisotto Alberto Zancanaro I. Zoppis Sara Manzoni 68 3 0 20 Nov 2023
SpACNN-LDVAE: Spatial Attention Convolutional Latent Dirichlet Variational Autoencoder for Hyperspectral Pixel Unmixing S. Chitnis Kiran Mantripragada Faisal Z. Qureshi 61 0 0 17 Nov 2023
Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference Marvin Schmitt Stefan T. Radev Paul-Christian Bürkner 155 5 0 17 Nov 2023
vEEGNet: learning latent representations to reconstruct EEG raw data via variational autoencoders Alberto Zancanaro Giulia Cisotto I. Zoppis Sara Manzoni DRL 68 5 0 16 Nov 2023
On the Quantification of Image Reconstruction Uncertainty without Training Data Sirui Bi Victor Fung Jiaxin Zhang 60 1 0 16 Nov 2023
Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent Processes Cécile Trottet Manuel Schürch Ahmed Allam Imon Barua L. Petelytska Oliver Distler A. Hoffmann-Vold Michael Krauthammer Eustar collaborators 85 2 0 14 Nov 2023
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning Arjun Bhardwaj Jonas Rothfuss Bhavya Sukhija Yarden As Marco Hutter Stelian Coros Andreas Krause 94 5 0 13 Nov 2023
Optimal simulation-based Bayesian decisions Justin Alsing Thomas D. P. Edwards Benjamin Dan Wandelt 71 1 0 09 Nov 2023
Conditional Optimal Transport on Function Spaces Bamdad Hosseini Alexander W. Hsu Amirhossein Taghvaei OT 122 16 0 09 Nov 2023
Inferring stochastic rates from heterogeneous snapshots of particle positions Christopher E Miles Scott A. McKinley Fangyuan Ding R. Lehoucq 30 6 0 08 Nov 2023
Generative learning for nonlinear dynamics William Gilpin AI4CE PINN 126 27 0 07 Nov 2023
Understanding Tool Discovery and Tool Innovation Using Active Inference Poppy Collis Paul F Kinghorn Christopher L. Buckley 49 0 0 07 Nov 2023
BOB: Bayesian Optimized Bootstrap for Uncertainty Quantification in Gaussian Mixture Models Santiago Marin Bronwyn Loong A. Westveld 77 0 0 07 Nov 2023
Riemannian Laplace Approximation with the Fisher Metric Hanlin Yu Marcelo Hartmann Bernardo Williams Mark Girolami Arto Klami 111 3 0 05 Nov 2023
Forward $χ^2$ Divergence Based Variational Importance Sampling Chengrui Li Yule Wang Weihan Li Anqi Wu BDL 72 2 0 04 Nov 2023
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities Wenchong He Zhe Jiang 110 1 0 04 Nov 2023
Variational Inference for Sparse Poisson Regression Mitra Kharabati Morteza Amini 129 1 0 02 Nov 2023
ABC-based Forecasting in State Space Models Chaya Weerasinghe Rubén Loaiza-Maya G. Martin David T. Frazier 57 1 0 02 Nov 2023
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support Tim Reichelt C. Ong Tom Rainforth 68 2 0 01 Nov 2023
Diffusion models for probabilistic programming Simon Dirmeier Fernando Pérez-Cruz 88 1 0 01 Nov 2023
Variational non-Bayesian inference of the Probability Density Function in the Wiener Algebra U. J. Choi Kyung Soo Rim 24 0 0 01 Nov 2023
Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows Mingxuan Yi Song Liu DRL 83 8 0 31 Oct 2023
On Feynman--Kac training of partial Bayesian neural networks Zheng Zhao Sebastian Mair Thomas B. Schön Jens Sjölund 76 0 0 30 Oct 2023