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Variational Inference

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TitleStatusHype
Cluster-based Regression using Variational Inference and Applications in Financial Forecasting—0
Forward Amortized Inference for Likelihood-Free Variational Marginalization—0
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space—0
Forward χ^2 Divergence Based Variational Importance Sampling—0
Foundation Posteriors for Approximate Probabilistic Inference—0
Frequentist Consistency of Generalized Variational Inference—0
From MAP to Marginals: Variational Inference in Bayesian Submodular Models—0
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models—0
FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning—0
Functional Complexity-adaptive Temporal Tensor Decomposition—0
Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis—0
Functional Stochastic Gradient MCMC for Bayesian Neural Networks—0
Functional Variational Inference based on Stochastic Process Generators—0
Function-Space Regularization for Deep Bayesian Classification—0
Function-Space Variational Inference for Deep Bayesian Classification—0
Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models—0
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework—0
Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence—0
Gamma Processes, Stick-Breaking, and Variational Inference—0
Gauging Variational Inference—0
Gaussian Density Parametrization Flow: Particle and Stochastic Approaches—0
Gaussian Mean Field Regularizes by Limiting Learned Information—0
Gaussian Process Conditional Density Estimation—0
Gaussian Process Latent Variable Flows for Massively Missing Data—0
Gaussian Process Meta-Representations Of Neural Networks—0
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