Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

50 / 1,814 papers shown

Title
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference Jian Xu Delu Zeng John Paisley DiffM 31 1 0 24 Jul 2024
Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes Jingyi Gao Seokhyun Chung FedML 33 0 0 24 Jul 2024
Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning Jingchen Sun Rohan Sharma Vishnu Suresh Lokhande Changyou Chen 41 0 0 22 Jul 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 53 0 0 22 Jul 2024
Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework Yuening Li Xiao Fu Junbin Liu Wing-Kin Ma 18 0 0 20 Jul 2024
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems Amber Hu D. Zoltowski Aditya Nair David Anderson Lea Duncker Scott W. Linderman 36 3 0 19 Jul 2024
Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis Cécile Trottet Manuel Schürch Ahmed Allam Imon Barua L. Petelytska ... Mislav Radic Oliver Distler A. Hoffmann-Vold Michael Krauthammer Eustar collaborators MedIm 27 0 0 16 Jul 2024
Computationally Efficient Estimation of Large Probit Models Patrick Ding Guido Imbens Zhaonan Qu Yinyu Ye 29 0 0 12 Jul 2024
FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder Yuchen Jiang Ying Wu Shiyao Zhang J. J. Yu 25 3 0 12 Jul 2024
Autoregressive Speech Synthesis without Vector Quantization Lingwei Meng Long Zhou Shujie Liu Sanyuan Chen Bing Han ... Jinyu Li Sheng Zhao Xixin Wu Helen Meng Furu Wei 51 31 0 11 Jul 2024
Deep Inverse Design for High-Level Synthesis Ping Chang Tosiron Adegbija Yuchao Liao Claudio Talarico Ao Li Janet Roveda 32 0 0 11 Jul 2024
Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural Network Zehuan Zhang Matej Genci Hongxiang Fan A. Wetscherek Wayne Luk 34 0 0 07 Jul 2024
Sequential Gaussian Variational Inference for Nonlinear State Estimation applied to Robotic Applications Min-Won Seo Solmaz S. Kia 43 0 0 07 Jul 2024
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms Måns Magnusson Jakob Torgander Paul-Christian Bürkner Lu Zhang Bob Carpenter Aki Vehtari 42 6 0 06 Jul 2024
Randomized Physics-Informed Neural Networks for Bayesian Data Assimilation Yifei Zong D. Barajas-Solano A. Tartakovsky 57 1 0 05 Jul 2024
Online Bayesian changepoint detection for network Poisson processes with community structure Joshua Corneck Edward A. K. Cohen James S. Martin Francesco Sanna Passino 3DPC 13 1 0 04 Jul 2024
Scalable expectation propagation for generalized linear models Niccolò Anceschi A. Fasano Beatrice Franzolini Giovanni Rebaudo 35 0 0 02 Jul 2024
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods Andrej Tschalzev Paul Nitschke Lukas Kirchdorfer Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt 34 0 0 01 Jul 2024
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations Weimin Bai Yifei Wang Wenzheng Chen He Sun 44 9 0 01 Jul 2024
Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models G. A. Padmanabha J. Fuhg C. Safta Reese E. Jones N. Bouklas 47 4 0 30 Jun 2024
Particle Semi-Implicit Variational Inference Jen Ning Lim A. M. Johansen 48 3 0 30 Jun 2024
Electrostatics-based particle sampling and approximate inference Yongchao Huang DiffM 35 2 0 28 Jun 2024
Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition Andrea Montanari Yuchen Wu 21 3 0 27 Jun 2024
Torchtree: flexible phylogenetic model development and inference using PyTorch Mathieu Fourment Matthew Macaulay Christiaan J. Swanepoel Xiang Ji M. Suchard Frederick A Matsen IV BDL 29 0 0 26 Jun 2024
Learning Optimal Filters Using Variational Inference Enoch Luk Eviatar Bach Ricardo Baptista Andrew Stuart 26 6 0 26 Jun 2024
Tree-based variational inference for Poisson log-normal models Alexandre Chaussard Anna Bonnet Elisabeth Gassiat Sylvain Le Corff 37 0 0 25 Jun 2024
Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows Yifan Chen Daniel Zhengyu Huang Jiaoyang Huang Sebastian Reich Andrew M. Stuart 51 5 0 25 Jun 2024
Peirce in the Machine: How Mixture of Experts Models Perform Hypothesis Construction Bruce Rushing MoE 13 0 0 24 Jun 2024
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data Paul D. W. Kirk Jackie Rao 22 1 0 23 Jun 2024
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA Zehuan Zhang Hongxiang Fan Hao Chen Lukasz Dudziak Wayne Luk BDL 40 0 0 23 Jun 2024
Recursive variational Gaussian approximation with the Whittle likelihood for linear non-Gaussian state space models Bao Anh Vu David Gunawan Andrew Zammit-Mangion 37 1 0 23 Jun 2024
Flexible Tails for Normalizing Flows Tennessee Hickling Dennis Prangle 33 0 0 22 Jun 2024
Probabilistic Programming with Programmable Variational Inference McCoy R. Becker Alexander K. Lew Xiaoyan Wang Matin Ghavami Mathieu Huot Martin Rinard Vikash K. Mansinghka 59 3 0 22 Jun 2024
On Naive Mean-Field Approximation for high-dimensional canonical GLMs S. Mukherjee Jiaze Qiu Subhabrata Sen 37 1 0 21 Jun 2024
Hierarchical thematic classification of major conference proceedings Arsentii Kuzmin Alexander Aduenko Vadim Strijov 18 0 0 21 Jun 2024
Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits Ziyi Huang Henry Lam Haofeng Zhang 33 0 0 20 Jun 2024
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression Ismaël Castillo Alice L'Huillier Kolyan Ray Luke Travis 34 0 0 18 Jun 2024
Variational Distillation of Diffusion Policies into Mixture of Experts Hongyi Zhou Denis Blessing Ge Li Onur Celik Xiaogang Jia Gerhard Neumann Rudolf Lioutikov DiffM 46 3 0 18 Jun 2024
Online Pareto-Optimal Decision-Making for Complex Tasks using Active Inference Peter Amorese Shohei Wakayama Nisar R. Ahmed Morteza Lahijanian 32 2 0 17 Jun 2024
Symmetry-driven embedding of networks in hyperbolic space Simon Lizotte Jean-Gabriel Young Antoine Allard 32 1 0 15 Jun 2024
Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines Yavar Taheri Yeganeh Mohsen Jafari Andrea Matta 32 0 0 13 Jun 2024
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number Ke Fan Zechen Bai Tianjun Xiao Tong He Max Horn Yanwei Fu Francesco Locatello Zheng Zhang OCL 37 5 0 13 Jun 2024
A geometric approach to informed MCMC sampling Vivekananda Roy 24 0 0 13 Jun 2024
Global Tests for Smoothed Functions in Mean Field Variational Additive Models Mark J. Meyer Junyi Wei 21 0 0 12 Jun 2024
Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical Properties Johannes Zenn Dominik Gond F. Jirasek Robert Bamler 21 2 0 12 Jun 2024
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling Denis Blessing Xiaogang Jia Johannes Esslinger Francisco Vargas Gerhard Neumann 50 16 0 11 Jun 2024
Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity Hugo Lavenant Giacomo Zanella 27 2 0 11 Jun 2024
A Concise Mathematical Description of Active Inference in Discrete Time Jesse van Oostrum Carlotta Langer Nihat Ay 40 1 0 11 Jun 2024
Approximation-Aware Bayesian Optimization Natalie Maus Kyurae Kim Geoff Pleiss David Eriksson John P. Cunningham Jacob R. Gardner 29 2 0 06 Jun 2024
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians Tom Huix Anna Korba Alain Durmus Eric Moulines 36 7 0 06 Jun 2024