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Variational Inference

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TitleStatusHype
Scalable Vector Gaussian Information Bottleneck—0
Tractable structured natural gradient descent using local parameterizations—0
Automatic variational inference with cascading flows—0
Bayesian Transformer Language Models for Speech Recognition—0
Bayesian Neural Networks for Virtual Flow Metering: An Empirical StudyCode0
Structure-preserving Gaussian Process Dynamics—0
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting—0
Spike and slab Bayesian sparse principal component analysis—0
Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning—0
Variational Information Bottleneck Model for Accurate Indoor Position Recognition—0
Unitary Approximate Message Passing for Sparse Bayesian Learning—0
NEMR: Network Embedding on Metric of Relation—0
Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach—0
Bayesian Inference ForgettingCode0
Efficient Semi-Implicit Variational Inference—0
Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way—0
The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks—0
Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey—0
Markov Chain Monte Carlo Policy Optimization—0
A Tutorial on the Mathematical Model of Single Cell Variational Inference—0
Einstein VI: General and Integrated Stein Variational Inference in NumPyro—0
MISSO: Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex and Nonsmooth Problems—0
Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory—0
Federated Learning with Decoupled Probabilistic-Weighted Gradient Aggregation—0
Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty—0
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