Pages that link to "Item:Q3176426"

The following pages link to Continuum Limits of Posteriors in Graph Bayesian Inverse Problems (Q3176426):

Displaying 20 items.

• Asymptotic spectra of large (grid) graphs with a uniform local structure. I: Theory (Q2027286) (← links)
• Analysis of stochastic gradient descent in continuous time (Q2058762) (← links)
• Convergence for varying measures (Q2091050) (← links)
• The SPDE approach to Matérn fields: graph representations (Q2092895) (← links)
• The Bayesian update: variational formulations and gradient flows (Q2297229) (← links)
• Convergence theorems for varying measures under convexity conditions and applications (Q2682868) (← links)
• Rates of convergence for Laplacian semi-supervised learning with low labeling rates (Q2683473) (← links)
• (Q4969066) (← links)
• Data-driven forward discretizations for Bayesian inversion (Q4970560) (← links)
• (Q4998963) (← links)
• Variational Limits of $k$-NN Graph-Based Functionals on Data Clouds (Q5025776) (← links)
• Graph-based prior and forward models for inverse problems on manifolds with boundaries (Q5030164) (← links)
• A Maximum Principle Argument for the Uniform Convergence of Graph Laplacian Regressors (Q5037572) (← links)
• Lipschitz Regularity of Graph Laplacians on Random Data Clouds (Q5037712) (← links)
• Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds (Q5139358) (← links)
• (Q5214228) (← links)
• Fatou's Lemma for Weakly Converging Measures under the Uniform Integrability Condition (Q5216294) (← links)
• Analysis of $p$-Laplacian Regularization in Semisupervised Learning (Q5231303) (← links)
• Analysis of a Computational Framework for Bayesian Inverse Problems: Ensemble Kalman Updates and MAP Estimators under Mesh Refinement (Q6131418) (← links)
• Optimization on Manifolds via Graph Gaussian Processes (Q6151665) (← links)