Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

50 / 1,818 papers shown

Title
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio 39 41 0 04 Oct 2023
If there is no underfitting, there is no Cold Posterior Effect Yijie Zhang Yi-Shan Wu Luis A. Ortega A. Masegosa UQCV 34 1 0 02 Oct 2023
Drug Discovery with Dynamic Goal-aware Fragments Seul Lee Seanie Lee Kenji Kawaguchi Sung Ju Hwang 28 5 0 02 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 34 76 0 01 Oct 2023
A General Offline Reinforcement Learning Framework for Interactive Recommendation Teng Xiao Donglin Wang OffRL 34 73 0 01 Oct 2023
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior Luke Travis Kolyan Ray 24 4 0 29 Sep 2023
Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty Carlos Quintero-Peña Wil Thomason Bo Xiong Anastasios Kyrillidis Lydia E. Kavraki 22 7 0 28 Sep 2023
A Variational Spike-and-Slab Approach for Group Variable Selection M. Ramezani Hossein Rastgoftar Jun S. Liu 38 0 0 28 Sep 2023
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression Soumendu Sundar Mukherjee Bodhisattva Sen Subhabrata Sen 40 4 0 28 Sep 2023
Generating Personalized Insulin Treatments Strategies with Deep Conditional Generative Time Series Models Manuel Schürch Xiang Li Ahmed Allam Giulia Rathmes Amina Mollaysa Claudia Cavelti-Weder Michael Krauthammer AI4TS 26 4 0 28 Sep 2023
FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for Independence-Assumption-Free Uncertainty Estimation Songlin Wei JIazhao Zhang Yang Wang Ruben Verborgh Hao Su He Wang AI4CE 32 3 0 28 Sep 2023
A Primer on Bayesian Neural Networks: Review and Debates Federico Danieli Konstantinos Pitas M. Vladimirova Vincent Fortuin BDL AAML 56 18 0 28 Sep 2023
Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations Hui Chen Hengyu Liu LongBing Cao Tiancheng Zhang FedML 55 3 0 27 Sep 2023
Improvements on Scalable Stochastic Bayesian Inference Methods for Multivariate Hawkes Process Alex Ziyu Jiang Abel Rodríguez 27 1 0 26 Sep 2023
Reparameterized Variational Rejection Sampling M. Jankowiak Du Phan DRL BDL 26 1 0 26 Sep 2023
Generative Filtering for Recursive Bayesian Inference with Streaming Data Ian Taylor Andee Kaplan Brenda Betancourt 22 0 0 25 Sep 2023
Independent projections of diffusions: Gradient flows for variational inference and optimal mean field approximations D. Lacker DiffM 22 7 0 23 Sep 2023
Bayesian sparsification for deep neural networks with Bayesian model reduction Dimitrije Marković K. Friston S. Kiebel BDL UQCV 40 1 0 21 Sep 2023
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models Song Mei Yuchen Wu DiffM 34 26 0 20 Sep 2023
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders Sharon Chokuwa M. H. Khan 44 5 0 20 Sep 2023
Conformalized Multimodal Uncertainty Regression and Reasoning Mimmo Parente Nastaran Darabi Alex C. Stutts Theja Tulabandhula A. R. Trivedi UQCV 36 7 0 20 Sep 2023
Group Spike and Slab Variational Bayes M. Komodromos Marina Evangelou Sarah Filippi Kolyan Ray 40 2 0 19 Sep 2023
Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs via Double Normalizing Flows Jian Xu Shian Du Junmei Yang Xinghao Ding John Paisley Delu Zeng 25 0 0 17 Sep 2023
Total Variation Distance Meets Probabilistic Inference Arnab Bhattacharyya Sutanu Gayen Kuldeep S. Meel Dimitrios Myrisiotis A. Pavan N. V. Vinodchandran 26 4 0 17 Sep 2023
Beta Diffusion Mingyuan Zhou Tianqi Chen Zhendong Wang Huangjie Zheng DiffM 29 10 0 14 Sep 2023
All you need is spin: SU(2) equivariant variational quantum circuits based on spin networks R. D. East Guillermo Alonso-Linaje Chae-Yeun Park 21 13 0 13 Sep 2023
Dynamic Causal Disentanglement Model for Dialogue Emotion Detection Yuting Su Yichen Wei Weizhi Nie Sicheng Zhao Anan Liu 22 4 0 13 Sep 2023
Towards the TopMost: A Topic Modeling System Toolkit Xiaobao Wu Fengjun Pan Anh Tuan Luu 37 14 0 13 Sep 2023
Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-like Penalty Zhiyong Hu D. Dey 39 3 0 08 Sep 2023
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks Sanket R. Jantre Nathan M. Urban Xiaoning Qian Byung-Jun Yoon BDL UQCV 34 4 0 06 Sep 2023
Amortised Inference in Bayesian Neural Networks Tommy Rochussen UQCV BDL 41 0 0 06 Sep 2023
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter Jinglong Wang Xiawei Li Jing Zhang Qingyuan Xu Qin Zhou Qian Yu Lu Sheng Dong Xu VLM DiffM 26 45 0 06 Sep 2023
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing Moyu Zhang Xinning Zhu Chun-Xiao Zhang Feng Pan Wenchen Qian Hui Zhao 26 0 0 03 Sep 2023
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds Marcel Hirt Domenico Campolo Victoria Leong Juan-Pablo Ortega DRL 17 0 0 01 Sep 2023
Unsupervised Text Style Transfer with Deep Generative Models Zhongtao Jiang Yuanzhe Zhang Yiming Ju Kang Liu 32 0 0 31 Aug 2023
Mixed Variational Flows for Discrete Variables Gian Carlo Diluvi Benjamin Bloem-Reddy Trevor Campbell 38 0 0 29 Aug 2023
Heterogeneous Multi-Task Gaussian Cox Processes Feng Zhou Quyu Kong Zhijie Deng Fengxiang He Peng Cui Jun Zhu 38 2 0 29 Aug 2023
NAS-X: Neural Adaptive Smoothing via Twisting Dieterich Lawson Michael Y. Li Scott W. Linderman 20 1 0 28 Aug 2023
Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach Firas Fredj Amal Feriani A. Mezghani Ekram Hossain 26 2 0 25 Aug 2023
Constrained Stein Variational Trajectory Optimization Thomas Power Dmitry Berenson 33 12 0 23 Aug 2023
Deep Generative Modeling-based Data Augmentation with Demonstration using the BFBT Benchmark Void Fraction Datasets Farah Alsafadi Xuehui Wu 41 3 0 19 Aug 2023
Modeling Random Networks with Heterogeneous Reciprocity Daniel Cirkovic Tiandong Wang 26 3 0 19 Aug 2023
Semi-Implicit Variational Inference via Score Matching Longlin Yu C. Zhang 27 11 0 19 Aug 2023
Robust Bayesian Tensor Factorization with Zero-Inflated Poisson Model and Consensus Aggregation Daniel Chafamo Vignesh Shanmugam Neriman Tokcan 24 1 0 15 Aug 2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation Jadie Adams Shireen Y. Elhabian UQCV 21 5 0 15 Aug 2023
Comparing the quality of neural network uncertainty estimates for classification problems Daniel Ries Joshua J. Michalenko T. Ganter R. Baiyasi Jason Adams UQCV BDL 31 1 0 11 Aug 2023
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks Daniel Ries Jason Adams J. Zollweg BDL 27 1 0 11 Aug 2023
Path Signatures for Diversity in Probabilistic Trajectory Optimisation Lucas Barcelos Tin Lai Rafael Oliveira Paulo Borges Fabio Ramos 51 6 0 08 Aug 2023
$Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities$ Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities Genevera I. Allen Luqin Gan Lili Zheng 38 9 0 02 Aug 2023
Adaptive MCMC for Bayesian variable selection in generalised linear models and survival models Xitong Liang Samuel Livingstone Jim Griffin 26 5 0 01 Aug 2023