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Variational Inference

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TitleStatusHype
Efficient EM-Variational Inference for Hawkes Process—0
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens—0
BayesSpeech: A Bayesian Transformer Network for Automatic Speech Recognition—0
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization—0
Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks—0
Faster variational inducing input Gaussian process classification—0
Fast Second Order Stochastic Backpropagation for Variational Inference—0
f-Divergence Variational Inference—0
Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations—0
Efficient non-conjugate Gaussian process factor models for spike countdata using polynomial approximations—0
Functional Complexity-adaptive Temporal Tensor Decomposition—0
Efficient Online Inference for Bayesian Nonparametric Relational Models—0
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise—0
Bayesian Models of Data Streams with Hierarchical Power Priors—0
Efficient Reinforcement Learning with Large Language Model Priors—0
Efficient Semi-Implicit Variational Inference—0
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning—0
Efficient Training of Neural SDEs Using Stochastic Optimal Control—0
Efficient transfer learning and online adaptation with latent variable models for continuous control—0
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification—0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems—0
Efficient Variational Bayes Learning of Graphical Models with Smooth Structural Changes—0
Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns—0
Bethe Projections for Non-Local Inference—0
Discovering Latent Structural Causal Models from Spatio-Temporal Data—0
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