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Variational Inference

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TitleStatusHype
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks—0
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels—0
Control as Hybrid Inference—0
Accelerating Stochastic Probabilistic Inference—0
Blind Image Denoising via Dependent Dirichlet Process Tree—0
Convergence of Statistical Estimators via Mutual Information Bounds—0
Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity—0
A Rule for Gradient Estimator Selection, with an Application to Variational Inference—0
Autoregressive Speech Synthesis without Vector Quantization—0
Convolutional Normalizing Flows for Deep Gaussian Processes—0
Cooperative Graphical Models—0
Blind Channel Estimation for MIMO Systems via Variational Inference—0
Copula variational inference—0
Correcting the Sub-optimal Bit Allocation—0
Correlated Equilibria for Approximate Variational Inference in MRFs—0
Correlated Mixed Membership Modeling of Somatic Mutations—0
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks—0
Correlated Random Measures—0
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging—0
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds—0
Coupled Compound Poisson Factorization—0
A Variational Bayesian State-Space Approach to Online Passive-Aggressive Regression—0
ADMM-based Networked Stochastic Variational Inference—0
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models—0
Dirichlet process mixture models for non-stationary data streams—0
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