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Variational Inference

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TitleStatusHype
Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference—0
Convergence Rates of Variational Inference in Sparse Deep Learning—0
Generalized Transformation-based Gradient—0
Generalized Variational Continual Learning—0
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems—0
A Tutorial on Parametric Variational Inference—0
Identifiable Feature Learning for Spatial Data with Nonlinear ICA—0
Collapsed variational Bayes for Markov jump processes—0
A Tutorial on Sparse Gaussian Processes and Variational Inference—0
Generative Flow Networks: Theory and Applications to Structure Learning—0
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data—0
Importance Weighting and Variational Inference—0
How to deal with missing data in supervised deep learning?—0
Generative Models for Learning from Crowds—0
Generative Particle Variational Inference via Estimation of Functional Gradients—0
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference—0
Generative Temporal Models with Memory—0
Combining Random Walks and Nonparametric Bayesian Topic Model for Community Detection—0
Generative Video Compression as Hierarchical Variational Inference—0
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis—0
Geometric Dirichlet Means algorithm for topic inference—0
Geometric variational inference—0
Comparing the quality of neural network uncertainty estimates for classification problems—0
Hybrid Bayesian Neural Networks with Functional Probabilistic Layers—0
Differentially Private Continual Learning—0
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