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Variational Inference

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TitleStatusHype
Bayesian Online Meta-Learning—0
Bayesian Policy Search for Stochastic Domains—0
Bayesian polynomial neural networks and polynomial neural ordinary differential equations—0
Bayesian posterior approximation via greedy particle optimization—0
Bayesian Probabilistic Co-Subspace Addition—0
Bayesian Probabilistic Matrix Factorization—0
Bayesian Probabilistic Matrix Factorization: A User Frequency Analysis—0
Bayesian Robust Tensor Factorization for Incomplete Multiway Data—0
Bayesian Crowdsourcing with Constraints—0
Bayesian Transformer Language Models for Speech Recognition—0
Bayesian Variational Federated Learning and Unlearning in Decentralized Networks—0
BayesPy: Variational Bayesian Inference in Python—0
BayesSpeech: A Bayesian Transformer Network for Automatic Speech Recognition—0
β-CapsNet: Learning Disentangled Representation for CapsNet by Information Bottleneck—0
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise—0
Benefits of Overparameterization in Single-Layer Latent Variable Generative Models—0
Beta Process Multiple Kernel Learning—0
Beta Process Non-negative Matrix Factorization with Stochastic Structured Mean-Field Variational Inference—0
Bethe Projections for Non-Local Inference—0
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation—0
Beyond black-boxes in Bayesian inverse problems and model validation: applications in solid mechanics of elastography—0
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis—0
Black-Box Autoregressive Density Estimation for State-Space Models—0
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics—0
Blind Channel Estimation for MIMO Systems via Variational Inference—0
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