Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

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Title
On Divergence Measures for Training GFlowNets Tiago da Silva Eliezer de Souza da Silva Diego Mesquita BDL 29 1 0 12 Oct 2024
Deterministic Fokker-Planck Transport -- With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo Ilja Klebanov OT 24 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 O. Puonti J. Iglesias OOD UQCV 43 0 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 34 0 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 29 0 0 08 Oct 2024
Variational Bayes Gaussian Splatting Toon Van de Maele Ozan Çatal Alexander Tschantz Christopher L. Buckley Tim Verbelen 3DGS 18 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 41 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 36 3 0 02 Oct 2024
An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring A. Gahlot Rafael Orozco Ziyi Yin Felix J. Herrmann 31 4 0 02 Oct 2024
Maximum Ideal Likelihood Estimator: An New Estimation and Inference Framework for Latent Variable Models Yizhou Cai Ting Fung Ma 24 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 32 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 31 1 0 30 Sep 2024
Simulation-based inference with the Python Package sbijax Simon Dirmeier S. Ulzega Antonietta Mira Carlo Albert 38 1 0 28 Sep 2024
Entropy, concentration, and learning: a statistical mechanics primer Akshay Balsubramani AI4CE 32 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 28 2 0 26 Sep 2024
Decomposable Transformer Point Processes Aristeidis Panos 24 1 0 26 Sep 2024
Conjugate Bayesian Two-step Change Point Detection for Hawkes Process Zeyue Zhang Xiaoling Lu Feng Zhou 11 0 0 26 Sep 2024
Factor pre-training in Bayesian multivariate logistic models Lorenzo Mauri David B. Dunson 20 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 77 9 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 S. Vinco S. D. Cataldo Franco Fummi DRL 26 0 0 23 Sep 2024
Skew-symmetric approximations of posterior distributions Francesco Pozza Daniele Durante Botond Szabó 39 2 0 21 Sep 2024
Stochastic mirror descent for nonparametric adaptive importance sampling Pascal Bianchi B. Delyon Victor Priser François Portier 34 2 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 40 1 0 19 Sep 2024
Amortized Variational Inference for Deep Gaussian Processes Qiuxian Meng Yongyou Zhang 26 0 0 18 Sep 2024
HJ-sampler: A Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton-Jacobi PDEs and score-based generative models Tingwei Meng Zongren Zou Jérome Darbon George Karniadakis DiffM 40 2 0 15 Sep 2024
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent Krishnakumar Balasubramanian Sayan Banerjee Promit Ghosal 40 2 0 13 Sep 2024
Review of Recent Advances in Gaussian Process Regression Methods Chenyi Lyu Xingchi Liu Lyudmila Mihaylova GP 29 3 0 12 Sep 2024
Portfolio Stress Testing and Value at Risk (VaR) Incorporating Current Market Conditions Krishan Mohan Nagpal 24 0 0 12 Sep 2024
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling Alex Glyn-Davies A. Vadeboncoeur O. Deniz Akyildiz Ieva Kazlauskaite Mark Girolami PINN 70 0 0 10 Sep 2024
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks Farah Alsafadi Aidan Furlong Xu Wu UQCV AI4CE 39 3 0 09 Sep 2024
Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detection Li Yang Abdallah Shami 22 2 0 05 Sep 2024
Gradient-free variational learning with conditional mixture networks Conor Heins Hao Wu Dimitrije Marković Alexander Tschantz Jeff Beck Christopher L. Buckley BDL 31 2 0 29 Aug 2024
Constrained Diffusion Models via Dual Training Shervin Khalafi Dongsheng Ding Alejandro Ribeiro 42 3 0 27 Aug 2024
Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Network Qing Li Runze Gan S. Godsill 21 0 0 24 Aug 2024
Amortized Bayesian Multilevel Models Daniel Habermann Marvin Schmitt Lars Kühmichel Andreas Bulling Stefan T. Radev Paul-Christian Bürkner 67 3 0 23 Aug 2024
Variance reduction of diffusion model's gradients with Taylor approximation-based control variate Paul Jeha Will Grathwohl Michael Riis Andersen Carl Henrik Ek J. Frellsen DiffM 29 1 0 22 Aug 2024
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning S. Poddar Yanming Wan Hamish Ivison Abhishek Gupta Natasha Jaques 34 35 0 19 Aug 2024
Modelling the Distribution of Human Motion for Sign Language Assessment Oliver Cory Ozge Mercanoglu Sincan M. Vowels A. Battisti F. Holzknecht Katja Tissi Sandra Sidler-Miserez Tobias Haug Sarah Ebling Richard Bowden 29 1 0 19 Aug 2024
Enhanced BPINN Training Convergence in Solving General and Multi-scale Elliptic PDEs with Noise Yilong Hou Xi’an Li Jinran Wu You-Gan Wang 69 1 0 18 Aug 2024
Learning to Explore for Stochastic Gradient MCMC Seunghyun Kim Seohyeon Jung Seonghyeon Kim Juho Lee BDL 48 1 0 17 Aug 2024
Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision Tasks Jiawei Wu Zhi Jin 36 0 0 15 Aug 2024
Fast Bayesian inference in a class of sparse linear mixed effects models M. Spyropoulou J. Hopker J. E. Griffin 18 0 0 14 Aug 2024
Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology Mario De Florio Zongren Zou Daniele E. Schiavazzi George Karniadakis 31 3 0 13 Aug 2024
Value of Information and Reward Specification in Active Inference and POMDPs Ran Wei 54 3 0 13 Aug 2024
Variational Bayesian Phylogenetic Inference with Semi-implicit Branch Length Distributions Tianyu Xie Frederick A. Matsen IV M. Suchard Cheng Zhang 27 1 0 09 Aug 2024
Re-ENACT: Reinforcement Learning for Emotional Speech Generation using Actor-Critic Strategy Ravi Shankar Archana Venkataraman 31 0 0 04 Aug 2024
Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification Soban Nasir Lone Subhayan De R. Nayek BDL 37 1 0 01 Aug 2024
Weak neural variational inference for solving Bayesian inverse problems without forward models: applications in elastography Vincent C. Scholz Yaohua Zang P. Koutsourelakis 41 3 0 30 Jul 2024
Causal effect estimation under network interference with mean-field methods Sohom Bhattacharya Subhabrata Sen CML 37 1 0 28 Jul 2024
Variational Inference Using Material Point Method Yongchao Huang 28 0 0 26 Jul 2024