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Variational Inference

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TitleStatusHype
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference—0
Hybrid Variational Autoencoder for Time Series Forecasting—0
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration—0
Fast post-process Bayesian inference with Variational Sparse Bayesian QuadratureCode0
Computing with Categories in Machine Learning—0
Variational Inference for Neyman-Scott ProcessesCode0
Variational Inference of Structured Line Spectra Exploiting Group-Sparsity—0
MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary InformationCode0
Particle-based Online Bayesian Sampling—0
Natural Gradient Hybrid Variational Inference with Application to Deep Mixed ModelsCode0
U-Statistics for Importance-Weighted Variational Inference—0
A Targeted Accuracy Diagnostic for Variational ApproximationsCode0
Streaming data recovery via Bayesian tensor train decomposition—0
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems—0
Variational Boosted Soft Trees—0
Improved uncertainty quantification for neural networks with Bayesian last layerCode0
Free-Form Variational Inference for Gaussian Process State-Space ModelsCode0
Bayesian Matrix Decomposition and Applications—0
Piecewise Deterministic Markov Processes for Bayesian Neural NetworksCode0
The Shrinkage-Delinkage Trade-off: An Analysis of Factorized Gaussian Approximations for Variational InferenceCode0
Variational Bayesian Neural Networks via Resolution of SingularitiesCode0
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health RecordsCode0
Gaussian Process-Gated Hierarchical Mixtures of ExpertsCode0
Federated Variational Inference Methods for Structured Latent Variable Models—0
Flat Seeking Bayesian Neural Networks—0
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