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Variational Inference

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TitleStatusHype
Amortized Posterior Sampling with Diffusion Prior Distillation—0
Amortized Variational Inference for Deep Gaussian Processes—0
Amortized Variational Inference for Simple Hierarchical Models—0
Amortized Variational Inference: A Systematic Review—0
Amplify Graph Learning for Recommendation via Sparsity Completion—0
Analog Bayesian neural networks are insensitive to the shape of the weight distribution—0
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks—0
Analytical Probability Distributions and EM-Learning for Deep Generative Networks—0
An Easy to Interpret Diagnostic for Approximate Inference: Symmetric Divergence Over Simulations—0
An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process—0
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm—0
A New Stochastic Approximation Method for Gradient-based Simulated Parameter Estimation—0
An information-theoretic analysis of deep latent-variable models—0
An Information Theoretic Approach to Distributed Representation Learning—0
An Instability in Variational Inference for Topic Models—0
An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications—0
An Introduction to Variational Inference—0
Anomaly Detection on Graph Time Series—0
A Non-negative VAE:the Generalized Gamma Belief Network—0
A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis—0
A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models—0
Nonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium Data—0
A NOVEL VARIATIONAL FAMILY FOR HIDDEN NON-LINEAR MARKOV MODELS—0
A Particle Algorithm for Mean-Field Variational Inference—0
Approximate Bayesian inference as a gauge theory—0
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