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Variational Inference

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Showing 1651–1675 of 2274 papers

TitleStatusHype
Challenges for BBVI with Normalizing Flows—0
Challenges in Computing and Optimizing Upper Bounds of Marginal Likelihood based on Chi-Square Divergences—0
Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach—0
Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approach—0
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders—0
Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach—0
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors—0
Closed-form Inference and Prediction in Gaussian Process State-Space Models—0
Clustered factor analysis of multineuronal spike data—0
Co-clustering through Optimal Transport—0
CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage—0
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting—0
Cold Posteriors through PAC-Bayes—0
Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network—0
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems—0
Collapsed variational Bayes for Markov jump processes—0
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review—0
Combining Random Walks and Nonparametric Bayesian Topic Model for Community Detection—0
Comparing the quality of neural network uncertainty estimates for classification problems—0
Complementary Information Mutual Learning for Multimodality Medical Image Segmentation—0
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models—0
Compositional Scene Modeling with Global Object-Centric Representations—0
Computing with Categories in Machine Learning—0
Concurrent Training and Layer Pruning of Deep Neural Networks—0
Composing Normalizing Flows for Inverse Problems—0
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