Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

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Title
Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification Mert Ketenci Inigo Urteaga Victor Alfonso Rodriguez Noémie Elhadad A. Perotte FAtt 32 0 0 06 Feb 2024
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning Idan Achituve I. Diamant Arnon Netzer Gal Chechik Ethan Fetaya UQCV 39 6 0 06 Feb 2024
Importance sampling for online variational learning A. Vasudevan P. Gloaguen Sylvain Le Corff Jimmy Olsson 30 0 0 05 Feb 2024
InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data Bowen Lei Rajarshi Guhaniyogi Krishnendu Chandra Aaron Scheffler Bani Mallick 23 0 0 05 Feb 2024
eXplainable Bayesian Multi-Perspective Generative Retrieval EuiYul Song Philhoon Oh Sangryul Kim James Thorne BDL 38 0 0 04 Feb 2024
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing Chengrui Li Weihan Li Yule Wang Anqi Wu 39 1 0 02 Feb 2024
Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks Youngkyoung Bae Seungwoong Ha Hawoong Jeong 73 2 0 02 Feb 2024
Enhancing Score-Based Sampling Methods with Ensembles T. Bischoff B. Riel 22 1 0 31 Jan 2024
Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics Nastaran Darabi Priyesh Shukla Dinithi Jayasuriya Divake Kumar Alex C. Stutts A. R. Trivedi 22 3 0 30 Jan 2024
A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Data Navid Ziaei Behzad Nazari Uri T. Eden A. Widge Ali Yousefi 34 3 0 29 Jan 2024
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers Alexandros E. Tzikas Licio Romao Mert Pilanci Alessandro Abate Mykel J. Kochenderfer 34 0 0 29 Jan 2024
A Survey on Neural Topic Models: Methods, Applications, and Challenges Xiaobao Wu Thong Nguyen A. Luu BDL 31 35 0 27 Jan 2024
Graph-accelerated Markov Chain Monte Carlo using Approximate Samples Leo L. Duan Anirban Bhattacharya 33 1 0 25 Jan 2024
Full Bayesian Significance Testing for Neural Networks Zehua Liu Zimeng Li Jingyuan Wang Yue He BDL 21 3 0 24 Jan 2024
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs Luca Schmid Tomer Raviv Nir Shlezinger Laurent Schmalen 33 5 0 23 Jan 2024
Provably Scalable Black-Box Variational Inference with Structured Variational Families Joohwan Ko Kyurae Kim W. Kim Jacob R. Gardner BDL 35 2 0 19 Jan 2024
Reconstructing the Invisible: Video Frame Restoration through Siamese Masked Conditional Variational Autoencoder Yongchen Zhou Richard Jiang 24 0 0 18 Jan 2024
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback Teng Xiao Suhang Wang OffRL 41 8 0 17 Jan 2024
Enhancing Dynamical System Modeling through Interpretable Machine Learning Augmentations: A Case Study in Cathodic Electrophoretic Deposition Christian L. Jacobsen Jiayuan Dong Mehdi Khalloufi Xun Huan Karthik Duraisamy Maryam Akram Wanjiao Liu 31 1 0 16 Jan 2024
Demystifying Variational Diffusion Models Fabio De Sousa Ribeiro Ben Glocker DiffM 30 0 0 11 Jan 2024
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs Pengfei Ding Yan Wang Guanfeng Liu Nan Wang Xiaofang Zhou OODD OOD 36 3 0 07 Jan 2024
Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation Linglong Qian Zina Ibrahim Richard J. B. Dobson BDL AI4TS 18 3 0 04 Jan 2024
Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes Baiting Luo Yunuo Zhang Abhishek Dubey Ayan Mukhopadhyay 18 3 0 03 Jan 2024
Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures Dongwook Kim Juyeon Park Hee Cheol Chung Seonghyun Jeong 33 3 0 01 Jan 2024
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling Deepak Akhare Tengfei Luo Jian-Xun Wang 40 6 0 30 Dec 2023
Density estimation using the perceptron P. R. Gerber Tianze Jiang Yury Polyanskiy Rui Sun 40 0 0 29 Dec 2023
Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation Melrose Roderick Felix Berkenkamp Fatemeh Sheikholeslami Zico Kolter UQCV 18 0 0 29 Dec 2023
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework Fangyikang Wang Huminhao Zhu Chao Zhang Han Zhao Hui Qian 31 5 0 27 Dec 2023
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 62 8 0 27 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 28 4 0 23 Dec 2023
Partially factorized variational inference for high-dimensional mixed models Max Goplerud O. Papaspiliopoulos Giacomo Zanella 11 5 0 20 Dec 2023
Online Variational Sequential Monte Carlo Alessandro Mastrototaro Jimmy Olsson BDL OffRL 32 3 0 19 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 54 2 0 19 Dec 2023
Bayesian Model Selection via Mean-Field Variational Approximation Yangfan Zhang Yun Yang 19 4 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 17 1 0 15 Dec 2023
Stein-MAP: A Sequential Variational Inference Framework for Maximum A Posteriori Estimation Min-Won Seo Solmaz S. Kia 40 2 0 14 Dec 2023
Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification Jamil Fayyad Shadi Alijani Homayoun Najjaran OOD 47 7 0 12 Dec 2023
Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems Yifei Zong D. Barajas-Solano A. Tartakovsky 41 2 0 11 Dec 2023
Sparse Variational Student-t Processes Jian Xu Delu Zeng 34 1 0 09 Dec 2023
Interpretable Mechanistic Representations for Meal-level Glycemic Control in the Wild Ke Alexander Wang Emily B. Fox DRL 28 0 0 06 Dec 2023
Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance SeungHwan An Sungchul Hong Jong-June Jeon 33 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 37 7 0 05 Dec 2023
Revisiting Topic-Guided Language Models Carolina Zheng Keyon Vafa David M. Blei BDL 35 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 21 1 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 22 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 23 1 0 01 Dec 2023
Entropy and the Kullback-Leibler Divergence for Bayesian Networks: Computational Complexity and Efficient Implementation Marco Scutari 16 2 0 29 Nov 2023
Variational Bayes image restoration with compressive autoencoders Maud Biquard Marie Chabert Thomas Oberlin 37 1 0 29 Nov 2023
On the Impact of Sampling on Deep Sequential State Estimation Helena Calatrava R. Borsoi Tales Imbiriba Pau Closas BDL 15 0 0 28 Nov 2023
Variational Inference for the Latent Shrinkage Position Model Xian Yao Gwee I. C. Gormley Michael Fop 11 0 0 28 Nov 2023