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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
Stein Variational Newton Neural Network Ensembles Klemens Flöge Mohammed Abdul Moeed Vincent Fortuin BDL UQCV 117 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 87 1 0 01 Nov 2024
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery Kyung-Hwan Lee Kyung-Tae Kim 77 0 0 01 Nov 2024
Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow Perspective Jia-Jie Zhu 159 1 0 31 Oct 2024
Multi-environment Topic Models Dominic Sobhani Amir Feder David M. Blei 68 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 77 7 0 31 Oct 2024
Functional Gradient Flows for Constrained Sampling Shiyue Zhang Longlin Yu Ziheng Cheng Cheng Zhang 61 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 132 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 93 1 0 29 Oct 2024
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors Massimo Bilancia Samuele Magro 101 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 99 3 0 29 Oct 2024
Likelihood approximations via Gaussian approximate inference Thang D. Bui 66 0 0 28 Oct 2024
Noise-Aware Differentially Private Variational Inference Talal Alrawajfeh Hibiki Ito Antti Honkela 151 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 85 0 0 24 Oct 2024
Evolving Voices Based on Temporal Poisson Factorisation Jan Vávra Bettina Grün Paul Hofmarcher 26 1 0 24 Oct 2024
Scalable Random Feature Latent Variable Models Ying Li Zhidi Lin Yuhao Liu Michael Minyi Zhang Pablo Martínez Olmos Petar M. Djurić BDL DRL 99 0 0 23 Oct 2024
Semi-Implicit Functional Gradient Flow for Efficient Sampling Shiyue Zhang Ziheng Cheng Cheng Zhang 32 0 0 23 Oct 2024
Reinforced Imitative Trajectory Planning for Urban Automated Driving Di Zeng Ling Zheng Xiantong Yang Yinong Li 55 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 176 1 0 21 Oct 2024
HyQE: Ranking Contexts with Hypothetical Query Embeddings Weichao Zhou Jiaxin Zhang Hilaf Hasson Anu Singh Wenchao Li RALM 55 2 0 20 Oct 2024
Predictive variational inference: Learn the predictively optimal posterior distribution Jinlin Lai Yuling Yao BDL 94 0 0 18 Oct 2024
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport P. Wijeratne Daniel C. Alexander 47 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 55 1 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 75 3 0 14 Oct 2024
A Structural Text-Based Scaling Model for Analyzing Political Discourse Jan Vávra Bernd Hans-Konrad Prostmaier Bettina Grün Paul Hofmarcher 27 1 0 14 Oct 2024
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix C. Margossian Lawrence K. Saul 94 2 0 14 Oct 2024
Bayesian Sheaf Neural Networks Patrick Gillespie Vasileios Maroulas Ioannis Schizas 52 2 0 12 Oct 2024
On Divergence Measures for Training GFlowNets Tiago da Silva Eliezer de Souza da Silva Diego Mesquita BDL 156 3 0 12 Oct 2024
Deterministic Fokker-Planck Transport -- With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo Ilja Klebanov OT 58 0 0 11 Oct 2024
Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging Xiaoling Hu Karthik Gopinath Peirong Liu Malte Hoffmann Koen van Leemput Oula Puonti J. Iglesias OOD UQCV 108 1 0 11 Oct 2024
Physics and Deep Learning in Computational Wave Imaging Youzuo Lin Shihang Feng J. Theiler Yinpeng Chen Umberto Villa Jing Rao John Greenhall Cristian Pantea M. Anastasio B. Wohlberg 63 1 0 10 Oct 2024
Molecular Dynamics and Machine Learning Unlock Possibilities in Beauty Design -- A Perspective Yuzhi Xu Haowei Ni Qinhui Gao Chia-Hua Chang Yanran Huo ... Yike Zhang Radu Grovu Min He John Z. H. Zhang Yuanqing Wang AI4CE 83 0 0 08 Oct 2024
Variational Bayes Gaussian Splatting Toon Van de Maele Ozan Çatal Alexander Tschantz Christopher L. Buckley Tim Verbelen 3DGS 53 0 0 04 Oct 2024
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold Hoang Phuc Hau Luu Hanlin Yu Bernardo Williams Marcelo Hartmann Arto Klami DRL 151 0 0 03 Oct 2024
Thermodynamic Bayesian Inference Maxwell Aifer Samuel Duffield Kaelan Donatella Denis Melanson Phoebe Klett Zach Belateche Gavin Crooks Antonio J. Martinez Patrick J. Coles 69 4 0 02 Oct 2024
An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring A. Gahlot Rafael Orozco Ziyi Yin Felix J. Herrmann 47 4 0 02 Oct 2024
Maximum Ideal Likelihood Estimator: An New Estimation and Inference Framework for Latent Variable Models Yizhou Cai Ting Fung Ma 55 0 0 02 Oct 2024
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation Omkar Kulkarni Rohitash Chandra CML AI4TS BDL 70 0 0 01 Oct 2024
Possible principles for aligned structure learning agents Lancelot Da Costa Tomáš Gavenčiak David Hyland Mandana Samiei Cristian Dragos-Manta Candice Pattisapu Adeel Razi Karl J. Friston 79 1 0 30 Sep 2024
Simulation-based inference with the Python Package sbijax Simon Dirmeier S. Ulzega Antonietta Mira Carlo Albert 66 4 0 28 Sep 2024
Entropy, concentration, and learning: a statistical mechanics primer Akshay Balsubramani AI4CE 61 1 0 27 Sep 2024
Adaptive Stream Processing on Edge Devices through Active Inference Boris Sedlak Víctor Casamayor Pujol Andrea Morichetta Praveen Kumar Donta Schahram Dustdar 58 4 0 26 Sep 2024
Decomposable Transformer Point Processes Aristeidis Panos 56 1 0 26 Sep 2024
Conjugate Bayesian Two-step Change Point Detection for Hawkes Process Zeyue Zhang Xiaoling Lu Feng Zhou 43 1 0 26 Sep 2024
Factor pre-training in Bayesian multivariate logistic models Lorenzo Mauri David B. Dunson 44 0 0 26 Sep 2024
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models A. Popov Alperen Degirmenci David Wehr Shashank Hegde Ryan Oldja ... David Nistér Urs Muller Ruchi Bhargava Stan Birchfield Nikolai Smolyanskiy 155 11 0 25 Sep 2024
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge Alessio Mascolini Sebastiano Gaiardelli Francesco Ponzio Nicola Dall’Ora Enrico Macii Sara Vinco S. D. Cataldo Franco Fummi DRL 72 0 0 23 Sep 2024
Skew-symmetric approximations of posterior distributions Francesco Pozza Daniele Durante Botond Szabó 88 2 0 21 Sep 2024
Stochastic mirror descent for nonparametric adaptive importance sampling Pascal Bianchi B. Delyon Victor Priser François Portier 58 3 0 20 Sep 2024
Manifold Sampling for Differentiable Uncertainty in Radiance Fields Linjie Lyu Ayush Tewari Marc Habermann Shunsuke Saito Michael Zollhöfer Thomas Leimkühler Christian Theobalt UQCV 90 1 0 19 Sep 2024