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Variational Inference

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TitleStatusHype
Bayesian Probabilistic Co-Subspace Addition—0
Approximate Inference for Spectral Mixture Kernel—0
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning—0
Efficient Training of Neural SDEs Using Stochastic Optimal Control—0
Bayesian posterior approximation via greedy particle optimization—0
Bayesian polynomial neural networks and polynomial neural ordinary differential equations—0
Efficient Reinforcement Learning with Large Language Model Priors—0
Bayesian Policy Search for Stochastic Domains—0
Efficient Semi-Implicit Variational Inference—0
Efficient transfer learning and online adaptation with latent variable models for continuous control—0
EigenVI: score-based variational inference with orthogonal function expansions—0
Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation through Grounded Anomaly Classification and Recovery Policies—0
Bayesian Online Meta-Learning—0
Approximate Inference by Compilation to Arithmetic Circuits—0
Efficient EM-Variational Inference for Hawkes Process—0
Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence—0
Approximate Decentralized Bayesian Inference—0
A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties—0
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens—0
Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence—0
Bayesian nonparametric comorbidity analysis of psychiatric disorders—0
Approximate Bayesian inference in spatial environments—0
Probabilistic Neural Transfer Function Estimation with Bayesian System Identification—0
Approximate Bayesian inference as a gauge theory—0
Efficient Correlated Topic Modeling with Topic Embedding—0
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