Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

50 / 1,814 papers shown

Title
Robust and highly scalable estimation of directional couplings from time-shifted signals Luca Ambrogioni Louis Rouillard Demian Wassermann 57 0 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 45 0 0 28 Jan 2025
Bayesian Spatial Predictive Synthesis D. Cabel S. Sugasawa Masahiro Kato K. Takanashi K. McAlinn 105 4 0 28 Jan 2025
Information-theoretic Bayesian Optimization: Survey and Tutorial Eduardo C. Garrido-Merchán 62 0 0 22 Jan 2025
Globally Convergent Variational Inference Declan McNamara J. Loper Jeffrey Regier 53 0 0 14 Jan 2025
Computational and Statistical Asymptotic Analysis of the JKO Scheme for Iterative Algorithms to update distributions Shang Wu Yazhen Wang 43 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 38 0 0 09 Jan 2025
Transferable Adversarial Examples with Bayes Approach Mingyuan Fan Cen Chen Ximeng Liu Wenzhong Guo AAML 70 1 0 08 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 64 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 81 0 0 18 Dec 2024
Learning Set Functions with Implicit Differentiation Gözde Özcan Chengzhi Shi Stratis Ioannidis 69 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 75 0 0 14 Dec 2024
Enhance Vision-Language Alignment with Noise Sida Huang Hongyuan Zhang Xuelong Li VLM 79 1 0 14 Dec 2024
A Decade of Deep Learning: A Survey on The Magnificent Seven Dilshod Azizov Muhammad Arslan Manzoor Velibor Bojkovic Yingxu Wang Zhilin Wang ... Liang Li Siwei Liu Yu Zhong Wei Liu Shangsong Liang OOD AI4TS MedIm 120 0 0 13 Dec 2024
Deep Clustering using Dirichlet Process Gaussian Mixture and Alpha Jensen-Shannon Divergence Clustering Loss Kart-Leong Lim BDL 74 0 0 12 Dec 2024
Deep evolving semi-supervised anomaly detection Jack Belham Aryan Bhosale Samrat Mukherjee Biplab Banerjee Fabio Cuzzolin 67 0 0 01 Dec 2024
Investigating Plausibility of Biologically Inspired Bayesian Learning in ANNs Ram Zaveri CLL 70 0 0 27 Nov 2024
Streamlining Prediction in Bayesian Deep Learning Rui Li Marcus Klasson Arno Solin Martin Trapp UQCV BDL 97 2 0 27 Nov 2024
GraphGrad: Efficient Estimation of Sparse Polynomial Representations for General State-Space Models Benjamin Cox Émilie Chouzenoux Victor Elvira 81 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 78 0 0 21 Nov 2024
Variational Bayesian Bow tie Neural Networks with Shrinkage Alisa Sheinkman Sara Wade BDL UQCV 45 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 24 1 0 10 Nov 2024
Bayesian Controlled FDR Variable Selection via Knockoffs Lorenzo Focardi-Olmi Anna Gottard Michele Guindani Marina Vannucci 36 0 0 05 Nov 2024
Stein Variational Newton Neural Network Ensembles Klemens Flöge Mohammed Abdul Moeed Vincent Fortuin BDL UQCV 37 0 0 04 Nov 2024
Analyzing Multimodal Integration in the Variational Autoencoder from an Information-Theoretic Perspective Carlotta Langer Yasmin Kim Georgie Ilja Porohovoj Verena V. Hafner Nihat Ay DRL 21 1 0 01 Nov 2024
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery Kyung-Hwan Lee Kyung-Tae Kim 23 0 0 01 Nov 2024
Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow Perspective Jia-Jie Zhu 68 1 0 31 Oct 2024
Multi-environment Topic Models Dominic Sobhani Amir Feder David M. Blei 30 0 0 31 Oct 2024
EigenVI: score-based variational inference with orthogonal function expansions Diana Cai Chirag Modi C. Margossian Robert Mansel Gower David M. Blei Lawrence K. Saul BDL 39 5 0 31 Oct 2024
Functional Gradient Flows for Constrained Sampling Shiyue Zhang Longlin Yu Ziheng Cheng Cheng Zhang 39 0 0 30 Oct 2024
ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning Eric T. Nalisnick Christophe Ley Padhraic Smyth Thomas Hamelryck BDL 52 1 0 30 Oct 2024
SimSiam Naming Game: A Unified Approach for Representation Learning and Emergent Communication Nguyen Le Hoang T. Taniguchi Fang Tianwei Akira Taniguchi 31 1 0 29 Oct 2024
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors Massimo Bilancia Samuele Magro 33 0 0 29 Oct 2024
Batch, match, and patch: low-rank approximations for score-based variational inference Chirag Modi Diana Cai Lawrence K. Saul BDL 39 1 0 29 Oct 2024
Likelihood approximations via Gaussian approximate inference Thang D. Bui 27 0 0 28 Oct 2024
Brain-like variational inference Hadi Vafaii Dekel Galor Jacob L. Yates DRL 49 0 0 25 Oct 2024
Noise-Aware Differentially Private Variational Inference Talal Alrawajfeh Joonas Jälkö Antti Honkela 35 0 0 25 Oct 2024
An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction using VAE-based Data Augmentation Farah Alsafadi M. Yaseen Xu Wu 19 0 0 24 Oct 2024
Evolving Voices Based on Temporal Poisson Factorisation Jan Vávra Bettina Grün Paul Hofmarcher 16 1 0 24 Oct 2024
Scalable Random Feature Latent Variable Models Ying Li Zhidi Lin Yuhao Liu Michael Minyi Zhang Pablo Martínez Olmos P. Djuric BDL DRL 30 0 0 23 Oct 2024
Reinforced Imitative Trajectory Planning for Urban Automated Driving Di Zeng Ling Zheng Xiantong Yang Yinong Li 26 0 0 21 Oct 2024
Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors Finn Schmidt Suhas Shrinivasan Polina Turishcheva Fabian H. Sinz 37 0 0 21 Oct 2024
HyQE: Ranking Contexts with Hypothetical Query Embeddings Weichao Zhou Jiaxin Zhang Hilaf Hasson Anu Singh Wenchao Li RALM 25 1 0 20 Oct 2024
Predictive variational inference: Learn the predictively optimal posterior distribution Jinlin Lai Yuling Yao BDL 31 0 0 18 Oct 2024
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport P. Wijeratne Daniel C. Alexander 20 0 0 18 Oct 2024
Annealed Stein Variational Gradient Descent for Improved Uncertainty Estimation in Full-Waveform Inversion M. Corrales Sean Berti Bertrand Denel Paul Williamson Mattia Aleardi M. Ravasi 19 0 0 17 Oct 2024
Navigation under uncertainty: Trajectory prediction and occlusion reasoning with switching dynamical systems Ran Wei Joseph Lee Shohei Wakayama Alexander Tschantz Conor Heins ... Mahault Albarracin Miguel de Prado Petter Horling Peter Winzell Renjith Rajagopal 33 2 0 14 Oct 2024
A Structural Text-Based Scaling Model for Analyzing Political Discourse Jan Vávra Bernd Hans-Konrad Prostmaier Bettina Grün Paul Hofmarcher 16 1 0 14 Oct 2024
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix C. Margossian Lawrence K. Saul 31 1 0 14 Oct 2024
Bayesian Sheaf Neural Networks Patrick Gillespie Vasileios Maroulas Ioannis Schizas 21 1 0 12 Oct 2024