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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
Locally Orderless Images for Optimization in Differentiable Rendering Ishit Mehta Manmohan Chandraker Ravi Ramamoorthi 73 0 0 27 Mar 2025
Evaluating Negative Sampling Approaches for Neural Topic Models Suman Adhya Avishek Lahiri Debarshi Kumar Sanyal Partha Pratim Das BDL 228 0 0 23 Mar 2025
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation Dong Zhao Jinlong Li Shuang Wang Mengyao Wu Qi Zang N. Sebe Zhun Zhong 465 1 0 23 Mar 2025
Quantification of Uncertainties in Probabilistic Deep Neural Network by Implementing Boosting of Variational Inference Pavia Bera Sanjukta Bhanja UQCV BDL 120 0 0 18 Mar 2025
Uncertainty Quantification for Data-Driven Machine Learning Models in Nuclear Engineering Applications: Where We Are and What Do We Need? Xu Wu L. Moloko P. Bokov Gregory K. Delipei Joshua Kaizer K. Ivanov AI4CE 71 0 0 16 Mar 2025
Massively Parallel Expectation Maximization For Approximate Posteriors Thomas Heap Sam Bowyer Laurence Aitchison 69 0 0 11 Mar 2025
Vairiational Stochastic Games Zhiyu Zhao Haifeng Zhang 92 0 0 08 Mar 2025
Mixed Likelihood Variational Gaussian Processes Kaiwen Wu Craig Sanders Benjamin Letham Phillip Guan 109 0 0 06 Mar 2025
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo Hyunsu Kim G. Nam Chulhee Yun Hongseok Yang Juho Lee BDL UQCV 105 0 0 02 Mar 2025
End-To-End Learning of Gaussian Mixture Priors for Diffusion Sampler Denis Blessing Xiaogang Jia Gerhard Neumann DiffM 105 1 0 01 Mar 2025
Bayesian Active Learning for Multi-Criteria Comparative Judgement in Educational Assessment Andy Gray Alma A. M. Rahat Tom Crick Stephen Lindsay ELM 91 1 0 01 Mar 2025
Variational Bayesian Pseudo-Coreset Hyungi Lee Seanie Lee Juho Lee BDL 73 0 0 28 Feb 2025
Training Robust Graph Neural Networks by Modeling Noise Dependencies Yeonjun In Kanghoon Yoon Sukwon Yun Kibum Kim Sungchul Kim Chanyoung Park OOD NoLa 123 0 0 27 Feb 2025
Transfer Learning in Latent Contextual Bandits with Covariate Shift Through Causal Transportability Mingwei Deng Ville Kyrki Dominik Baumann 130 1 0 27 Feb 2025
Actively Inferring Optimal Measurement Sequences Catherine F. Higham Paul Henderson R. Murray-Smith DRL 134 0 0 25 Feb 2025
Federated Variational Inference for Bayesian Mixture Models Jackie Rao Francesca L. Crowe Tom Marshall S. Richardson Paul D. W. Kirk FedML 162 0 0 18 Feb 2025
In-Context Parametric Inference: Point or Distribution Estimators? Sarthak Mittal Yoshua Bengio Nikolay Malkin Guillaume Lajoie 130 0 0 17 Feb 2025
Properties of Wasserstein Gradient Flows for the Sliced-Wasserstein Distance Christophe Vauthier Quentin Mérigot Anna Korba 69 0 0 10 Feb 2025
Amortized In-Context Bayesian Posterior Estimation Sarthak Mittal Niels Leif Bracher Guillaume Lajoie P. Jaini Marcus A. Brubaker 114 2 0 10 Feb 2025
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation George Whittle Juliusz Ziomek Jacob Rawling Michael A. Osborne 210 4 0 04 Feb 2025
A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement Chengrui Li Yunmiao Wang Yule Wang Weihan Li Dieter Jaeger Anqi Wu CoGe DRL 134 1 0 04 Feb 2025
Learning Hyperparameters via a Data-Emphasized Variational Objective Ethan Harvey Mikhail Petrov Michael C. Hughes 120 0 0 03 Feb 2025
Latent Thought Models with Variational Bayes Inference-Time Computation Deqian Kong Minglu Zhao Dehong Xu Bo Pang Shu Wang ... Zhangzhang Si Chuan Li Jianwen Xie Sirui Xie Ying Nian Wu VLM LRM BDL 145 10 0 03 Feb 2025
HuViDPO:Enhancing Video Generation through Direct Preference Optimization for Human-Centric Alignment Lifan Jiang Boxi Wu Jiahui Zhang Xiaotong Guan Shuang Chen VGen 95 1 0 02 Feb 2025
Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals Alexander Mielke Jia Jie Zhu 172 2 0 28 Jan 2025
Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective Ethan Harvey Mikhail Petrov Michael C. Hughes 162 0 0 28 Jan 2025
Bayesian Spatial Predictive Synthesis D. Cabel S. Sugasawa Masahiro Kato K. Takanashi K. McAlinn 155 4 0 28 Jan 2025
Robust and highly scalable estimation of directional couplings from time-shifted signals Luca Ambrogioni Louis Rouillard Demian Wassermann 172 0 0 28 Jan 2025
Information-theoretic Bayesian Optimization: Survey and Tutorial Eduardo C. Garrido-Merchán 154 1 0 22 Jan 2025
Globally Convergent Variational Inference Declan McNamara J. Loper Jeffrey Regier 101 0 0 14 Jan 2025
Computational and Statistical Asymptotic Analysis of the JKO Scheme for Iterative Algorithms to update distributions Shang Wu Yazhen Wang 104 0 0 11 Jan 2025
Analog Bayesian neural networks are insensitive to the shape of the weight distribution Ravi G. Patel T. Xiao S. Agarwal C. Bennett 66 0 0 09 Jan 2025
Transferable Adversarial Examples with Bayes Approach Mingyuan Fan Cen Chen Ximeng Liu Wenzhong Guo AAML 125 1 0 08 Jan 2025
Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure Measurements Hanieh Mousavi J. Eldredge 40 3 0 08 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 154 0 0 03 Jan 2025
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events Ayush Khot Xihaier Luo Ai Kagawa Shinjae Yoo EDL BDL 112 0 0 18 Dec 2024
Learning Set Functions with Implicit Differentiation Gözde Özcan Chengzhi Shi Stratis Ioannidis 103 0 0 15 Dec 2024
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression Junliang Lyu Yixuan Zhang Xiaoling Lu Feng Zhou FedML 139 1 0 14 Dec 2024
Enhance Vision-Language Alignment with Noise Sida Huang Hongyuan Zhang Xuelong Li VLM 160 10 0 14 Dec 2024
A Decade of Deep Learning: A Survey on The Magnificent Seven Dilshod Azizov Muhammad Arslan Manzoor Velibor Bojkovic Yingxu Wang Ziyi Wang ... Liang Li Siwei Liu Yu Zhong Wei Liu Shangsong Liang OOD AI4TS MedIm 175 0 0 13 Dec 2024
Deep Clustering using Dirichlet Process Gaussian Mixture and Alpha Jensen-Shannon Divergence Clustering Loss Kart-Leong Lim BDL 113 0 0 12 Dec 2024
Deep evolving semi-supervised anomaly detection Jack Belham Aryan Bhosale Samrat Mukherjee Biplab Banerjee Fabio Cuzzolin 113 0 0 01 Dec 2024
Investigating Plausibility of Biologically Inspired Bayesian Learning in ANNs Ram Zaveri CLL 126 0 0 27 Nov 2024
Streamlining Prediction in Bayesian Deep Learning Marcus Klasson Talal Alrawajfeh Mikko Heikkilä Martin Trapp UQCV BDL 234 2 0 27 Nov 2024
GraphGrad: Efficient Estimation of Sparse Polynomial Representations for General State-Space Models Benjamin Cox Émilie Chouzenoux Victor Elvira 162 0 0 23 Nov 2024
Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks Sanchar Palit Biplab Banerjee S. Chaudhuri CLL 136 0 0 21 Nov 2024
Variational Bayesian Bow tie Neural Networks with Shrinkage Alisa Sheinkman Sara Wade BDL UQCV 100 0 0 17 Nov 2024
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement Prediction Shuqi Li Yuebo Sun Yuxin Lin Xin Gao Shuo Shang Rui Yan AIFin 53 1 0 10 Nov 2024
GenJoin: Conditional Generative Plan-to-Plan Query Optimizer that Learns from Subplan Hints Pavel Sulimov Claude Lehmann Kurt Stockinger 102 0 0 07 Nov 2024
Bayesian Controlled FDR Variable Selection via Knockoffs Lorenzo Focardi-Olmi Anna Gottard Michele Guindani Marina Vannucci 48 0 0 05 Nov 2024