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Variational Inference

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TitleStatusHype
Fast Second-Order Stochastic Backpropagation for Variational Inference—0
Fast Second Order Stochastic Backpropagation for Variational Inference—0
Fast Variational Inference for Large-scale Internet Diagnosis—0
Generative Flow Networks: Theory and Applications to Structure Learning—0
Fast Variational Inference in the Conjugate Exponential Family—0
DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements—0
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs—0
Bayesian Metric Learning for Robust Training of Deep Models under Noisy Labels—0
Favour: FAst Variance Operator for Uncertainty Rating—0
f-Divergence Thermodynamic Variational Objective: a Deformed Geometry Perspective—0
f-Divergence Variational Inference—0
A Filtering Approach to Stochastic Variational Inference—0
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models—0
Federated Empirical Risk Minimization via Second-Order Method—0
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework—0
A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis—0
Federated Learning with Decoupled Probabilistic-Weighted Gradient Aggregation—0
Federated Variational Inference for Bayesian Mixture Models—0
Federated Variational Inference Methods for Structured Latent Variable Models—0
Federated Variational Inference: Towards Improved Personalization and Generalization—0
FedHB: Hierarchical Bayesian Federated Learning—0
Few-sample Variational Inference of Bayesian Neural Networks with Arbitrary Nonlinearities—0
Few Shot Activity Recognition Using Variational Inference—0
Generalized Variational Continual Learning—0
Bayesian Matrix Decomposition and Applications—0
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