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Variational Inference

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Showing 801–825 of 2274 papers

TitleStatusHype
Gradient-based inference of abstract task representations for generalization in neural networks—0
Celeste: Variational inference for a generative model of astronomical images—0
Central Limit Theorem for Bayesian Neural Network trained with Variational Inference—0
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation—0
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection—0
Flat Seeking Bayesian Neural Networks—0
Challenges and Opportunities in High-dimensional Variational Inference—0
Asynchronous Stochastic Variational Inference—0
Flexible Modeling of Latent Task Structures in Multitask Learning—0
Challenges and Opportunities in High Dimensional Variational Inference—0
Flow-based Recurrent Belief State Learning for POMDPs—0
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering—0
Bayesian evidence estimation from posterior samples with normalizing flows—0
Cluster-based Regression using Variational Inference and Applications in Financial Forecasting—0
A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis—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
Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach—0
Frequentist Consistency of Generalized Variational Inference—0
GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models—0
Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approach—0
Bayesian Matrix Decomposition and Applications—0
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models—0
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification—0
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