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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
Zero-inflation in the Multivariate Poisson Lognormal Family Bastien Batardière Julien Chiquet Franccois Gindraud M. Mariadassou 40 4 0 23 May 2024
Poisson Variational Autoencoder Hadi Vafaii Dekel Galor Jacob L. Yates DRL 75 2 0 23 May 2024
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows A. Cabezas Louis Sharrock Christopher Nemeth 71 4 0 23 May 2024
Generalised Bayes Linear Inference L. Astfalck Cassandra Bird Daniel Williamson AI4CE 62 0 0 23 May 2024
A Study of Posterior Stability for Time-Series Latent Diffusion Yangming Li M. Schaar 73 0 0 22 May 2024
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis Soumya Dutta Faheem Nizar Ahmad Amaan Ayan Acharya AAML 89 1 0 22 May 2024
Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulation Yifan Chen Bamdad Hosseini H. Owhadi Andrew M. Stuart 108 1 0 21 May 2024
Alternators For Sequence Modeling Mohammad Reza Rezaei Adji Bousso Dieng 70 2 0 20 May 2024
General bounds on the quality of Bayesian coresets Trevor Campbell 83 2 0 20 May 2024
Accelerating Multilevel Markov Chain Monte Carlo Using Machine Learning Models Sohail Reddy Hillary R. Fairbanks 57 1 0 18 May 2024
Probabilistic transfer learning methodology to expedite high fidelity simulation of reactive flows Bruno S. Soriano Kisung Jung T. Echekki Jacqueline H. Chen Mohammad Khalil AI4CE 37 1 0 17 May 2024
Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data Maxim Ziatdinov AI4CE 75 4 0 16 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 88 18 0 13 May 2024
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 103 0 0 10 May 2024
Variance Control for Black Box Variational Inference Using The James-Stein Estimator Dominic B. Dayta DRL 53 1 0 09 May 2024
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference Conor Hassan Matthew Sutton Antonietta Mira Kerrie Mengersen FedML 63 1 0 07 May 2024
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction Jiayang Shi Junyi Zhu D. Pelt K. Batenburg Matthew B. Blaschko 82 4 0 03 May 2024
Probablistic Restoration with Adaptive Noise Sampling for 3D Human Pose Estimation Xianzhou Zeng Hao Qin Ming Kong Luyuan Chen Qiang Zhu 3DH 97 0 0 03 May 2024
Accelerating Convergence in Bayesian Few-Shot Classification Tianjun Ke Haoqun Cao Feng Zhou 101 0 0 02 May 2024
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks Mikkel Jordahn Pablo Olmos 99 1 0 02 May 2024
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design A. N. M. N. Abeer Sanket Jantre Nathan M. Urban Byung-Jun Yoon 91 1 0 30 Apr 2024
Doubly Adaptive Importance Sampling W. van den Boom Andrea Cremaschi Alexandre H. Thiery 59 0 0 29 Apr 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models Song Mei 3DV AI4CE DiffM 94 13 0 29 Apr 2024
Variational Bayesian surrogate modelling with application to robust design optimisation Thomas A. Archbold Ieva Kazlauskaite F. Cirak 111 1 0 23 Apr 2024
Uncertainty Quantification on Graph Learning: A Survey Chao Chen Chenghua Guo Rui Xu Xiangwen Liao Xi Zhang Sihong Xie Hui Xiong Mohit Bansal AI4CE 86 1 0 23 Apr 2024
Physics-integrated generative modeling using attentive planar normalizing flow based variational autoencoder Sheikh Waqas Akhtar DRL 62 0 0 18 Apr 2024
Analytical Approximation of the ELBO Gradient in the Context of the Clutter Problem Roumen Nikolaev Popov 99 0 0 16 Apr 2024
Dynamic fault detection and diagnosis of industrial alkaline water electrolyzer process with variational Bayesian dictionary learning Qi Zhang Lei Xie Wei Xu Hongye Su 27 4 0 15 Apr 2024
Convergence of coordinate ascent variational inference for log-concave measures via optimal transport Manuel Arnese Daniel Lacker 49 11 0 12 Apr 2024
Polynomial-time derivation of optimal k-tree topology from Markov networks Fereshteh R. Dastjerdi Liming Cai 27 0 0 09 Apr 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows Gavin Kerrigan Giosue Migliorini Padhraic Smyth OT 103 14 0 05 Apr 2024
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems Hossein Askari Fred Roosta Hongfu Sun MedIm DiffM 78 3 0 04 Apr 2024
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech Jaehyeon Kim Keon Lee Seungjun Chung Jaewoong Cho 122 44 0 03 Apr 2024
Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation Minglei Yang Pengjun Wang Ming Fan Dan Lu Yanzhao Cao Guannan Zhang AI4CE 153 1 0 31 Mar 2024
Causal Inference for Human-Language Model Collaboration Bohan Zhang Yixin Wang Paramveer S. Dhillon 62 2 0 30 Mar 2024
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks Tian Ye Rajgopal Kannan Viktor Prasanna Carl E. Busart AAML 69 1 0 27 Mar 2024
Neural Multimodal Topic Modeling: A Comprehensive Evaluation Felipe González-Pizarro Giuseppe Carenini VGen 83 1 0 26 Mar 2024
Bridging the Sim-to-Real Gap with Bayesian Inference Jonas Rothfuss Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause AI4CE 90 4 0 25 Mar 2024
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models John Fischer Marko Orescanin Justin Loomis Patrick McClure FedML 86 3 0 22 Mar 2024
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs C. Margossian Loucas Pillaud-Vivien Lawrence K. Saul UD 158 2 0 20 Mar 2024
Predictive, scalable and interpretable knowledge tracing on structured domains Hanqi Zhou Robert Bamler Charley M. Wu Álvaro Tejero-Cantero AI4Ed 67 10 0 19 Mar 2024
Function-space Parameterization of Neural Networks for Sequential Learning Aidan Scannell Riccardo Mereu Paul E. Chang Ella Tamir Joni Pajarinen Arno Solin BDL 92 5 0 16 Mar 2024
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference Declan McNamara J. Loper Jeffrey Regier BDL 104 3 0 15 Mar 2024
Disentangling shared and private latent factors in multimodal Variational Autoencoders Kaspar Märtens Christopher Yau DRL 118 0 0 10 Mar 2024
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation Yuda Shao Shan Yu Tianshu Feng 65 1 0 10 Mar 2024
Variational Inference of Parameters in Opinion Dynamics Models Jacopo Lenti Fabrizio Silvestri G. D. F. Morales 69 4 0 08 Mar 2024
Uncertainty quantification for deeponets with ensemble kalman inversion Andrew Pensoneault Xueyu Zhu 97 2 0 06 Mar 2024
CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver Zhenyu Pan Ammar Gilani En-Jui Kuo Zhuo Liu LRM 74 4 0 05 Mar 2024
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation Yidong Zhao João Tourais Iain Pierce Christian Nitsche T. Treibel Sebastian Weingartner Artur M. Schweidtmann Qian Tao BDL UQCV 85 5 0 04 Mar 2024
Feint Behaviors and Strategies: Formalization, Implementation and Evaluation Junyu Liu Wangkai Jin OffRL 62 0 0 04 Mar 2024