Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

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Title
You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference Dominic B. Dayta TPM BDL 30 0 0 05 Jun 2024
Posterior and variational inference for deep neural networks with heavy-tailed weights Ismael Castillo Paul Egels BDL 60 3 0 05 Jun 2024
Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps Evgenii Egorov Ricardo Valperga E. Gavves BDL GAN 39 0 0 04 Jun 2024
Disentangled Representation via Variational AutoEncoder for Continuous Treatment Effect Estimation Ruijing Cui Jianbin Sun Bingyu He Kewei Yang Bingfeng Ge 28 0 0 04 Jun 2024
Understanding Stochastic Natural Gradient Variational Inference Kaiwen Wu Jacob R. Gardner BDL 56 1 0 04 Jun 2024
Diffusion Boosted Trees Xizewen Han Mingyuan Zhou AI4CE 36 0 0 03 Jun 2024
Logistic Variational Bayes Revisited M. Komodromos Marina Evangelou Sarah Filippi BDL 23 0 0 02 Jun 2024
Representation and De-interleaving of Mixtures of Hidden Markov Processes Jiadi Bao Mengtao Zhu Yunjie Li Shafei Wang 19 0 0 01 Jun 2024
Flexible inference in heterogeneous and attributed multilayer networks Martina Contisciani Marius Hobbhahn Eleanor A. Power Philipp Hennig Caterina De Bacco 37 1 0 31 May 2024
Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencoders Naﬁz Abeer Sanket R. Jantre Nathan M. Urban Byung-Jun Yoon 45 0 0 31 May 2024
Scalable Bayesian Learning with posteriors Samuel Duffield Kaelan Donatella Johnathan Chiu Phoebe Klett Daniel Simpson BDL UQCV 62 1 0 31 May 2024
Recurrent Deep Kernel Learning of Dynamical Systems N. Botteghi Paolo Motta Andrea Manzoni P. Zunino Mengwu Guo 33 1 0 30 May 2024
Understanding and mitigating difficulties in posterior predictive evaluation Abhinav Agrawal Justin Domke UQCV 45 0 0 30 May 2024
Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media Matthaios Chatzopoulos P. Koutsourelakis AI4CE 39 3 0 29 May 2024
Kernel Semi-Implicit Variational Inference Ziheng Cheng Longlin Yu Tianyu Xie Shiyue Zhang Cheng Zhang 35 2 0 29 May 2024
Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning Tianle Zhang Jiayi Guan Lin Zhao Yihang Li Dongjiang Li ... Lei Sun Yue Chen Xuelong Wei Lusong Li Xiaodong He 43 1 0 29 May 2024
Evaluating Bayesian deep learning for radio galaxy classification Devina Mohan Anna M. M. Scaife UQCV BDL 46 1 0 28 May 2024
FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm Xiaobao Wu Thong Nguyen Delvin Ce Zhang William Yang Wang A. Luu 37 9 0 28 May 2024
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion Xiaobao Wu Xinshuai Dong Liangming Pan Thong Nguyen A. Luu 56 13 0 28 May 2024
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals Ilia Azizi M. Boldi V. Chavez-Demoulin 95 0 0 28 May 2024
Bayesian RG Flow in Neural Network Field Theories Jessica N. Howard Marc S. Klinger Anindita Maiti A. G. Stapleton 68 1 0 27 May 2024
Diffusion-Reward Adversarial Imitation Learning Chun-Mao Lai Hsiang-Chun Wang Ping-Chun Hsieh Yu-Chiang Frank Wang Min-Hung Chen Shao-Hua Sun 37 8 0 25 May 2024
Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations Conor Hassan Joshua J Bon Elizaveta Semenova Antonietta Mira Kerrie Mengersen 26 0 0 25 May 2024
ProDAG: Projected Variational Inference for Directed Acyclic Graphs Ryan Thompson Edwin V. Bonilla Robert Kohn 40 0 0 24 May 2024
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution Johannes Zenn Robert Bamler 39 1 0 23 May 2024
Zero-inflation in the Multivariate Poisson Lognormal Family Bastien Batardière Julien Chiquet Franccois Gindraud M. Mariadassou 22 3 0 23 May 2024
Poisson Variational Autoencoder Hadi Vafaii Dekel Galor Jacob L. Yates DRL 45 1 0 23 May 2024
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows A. Cabezas Louis Sharrock Christopher Nemeth 34 1 0 23 May 2024
Generalised Bayes Linear Inference L. Astfalck Cassandra Bird Daniel Williamson AI4CE 19 0 0 23 May 2024
A Study of Posterior Stability for Time-Series Latent Diffusion Yangming Li M. Schaar 30 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 48 1 0 22 May 2024
Generalized Laplace Approximation Yinsong Chen Samson S. Yu Zhong Li Chee Peng Lim BDL 53 0 0 22 May 2024
Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulation Yifan Chen Bamdad Hosseini H. Owhadi Andrew M. Stuart 65 1 0 21 May 2024
Alternators For Sequence Modeling Mohammad Reza Rezaei Adji Bousso Dieng 28 0 0 20 May 2024
General bounds on the quality of Bayesian coresets Trevor Campbell 61 2 0 20 May 2024
Accelerating Multilevel Markov Chain Monte Carlo Using Machine Learning Models Sohail Reddy Hillary R. Fairbanks 29 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 19 1 0 17 May 2024
Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data Maxim Ziatdinov AI4CE 32 4 0 16 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 34 14 0 13 May 2024
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 51 0 0 10 May 2024
Variance Control for Black Box Variational Inference Using The James-Stein Estimator Dominic B. Dayta DRL 14 1 0 09 May 2024
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference Conor Hassan Matthew Sutton Antonietta Mira Kerrie Mengersen FedML 42 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 35 3 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 22 0 0 03 May 2024
Accelerating Convergence in Bayesian Few-Shot Classification Tianjun Ke Haoqun Cao Feng Zhou 47 0 0 02 May 2024
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks Mikkel Jordahn Pablo Olmos 32 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 R. Jantre Nathan M. Urban Byung-Jun Yoon 49 1 0 30 Apr 2024
Doubly Adaptive Importance Sampling W. van den Boom Andrea Cremaschi Alexandre H. Thiery 26 0 0 29 Apr 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models Song Mei 3DV AI4CE DiffM 41 11 0 29 Apr 2024
Variational Bayesian surrogate modelling with application to robust design optimisation Thomas A. Archbold Ieva Kazlauskaite F. Cirak 25 1 0 23 Apr 2024