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Variational Inference

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TitleStatusHype
Confidence Estimation via Sequential Likelihood Mixing—0
Connection Discovery using Shared Images by Gaussian Relational Topic Model—0
Constrained Bayesian Inference for Low Rank Multitask Learning—0
Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification—0
Constrained Structure Learning for Scene Graph Generation—0
Constraining the Dynamics of Deep Probabilistic Models—0
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning—0
Gaussian Variational State Estimation for Nonlinear State-Space Models—0
Continual Learning with Adaptive Weights (CLAW)—0
Continuous Time Dynamic Topic Models—0
Continuous-time edge modelling using non-parametric point processes—0
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels—0
Control as Hybrid Inference—0
Convergence of coordinate ascent variational inference for log-concave measures via optimal transport—0
Convergence of Statistical Estimators via Mutual Information Bounds—0
Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity—0
Convolutional Normalizing Flows for Deep Gaussian Processes—0
Cooperative Graphical Models—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
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