CSE17 - MS31-1: Subspace Driven Data Reduction Strategies for Linear Bayesian Inverse Problems Presentation: Jayanth Jagalur Mohan, Massachusetts Institute of Technology, USA, 23 min 39 sec
CSE17 - MS31-1: Subspace Driven Data Reduction Strategies for Linear Bayesian Inverse Problems Document: CSE17 - MS31-1: Subspace Driven Data Reduction Strategies for Linear Bayesian Inverse Problems
CSE17 - MS31-2: Faster Kernel Ridge Regression Using Sketching and Preconditioning Presentation: Haim Avron, Tel Aviv University, Israel, 23 min 44 sec
CSE17 - MS31-2: Faster Kernel Ridge Regression Using Sketching and Preconditioning Document: CSE17 - MS31-2: Faster Kernel Ridge Regression Using Sketching and Preconditioning
CSE17 - MS31-4: Generalized Hybrid Iterative Methods for Large-Scale Bayesian Inverse Problems Presentation: Julianne Chung, Virginia Tech, USA, 25 min 15 sec
CSE17 - MS31-4: Generalized Hybrid Iterative Methods for Large-Scale Bayesian Inverse Problems Document: CSE17 - MS31-4: Generalized Hybrid Iterative Methods for Large-Scale Bayesian Inverse Problems