CSE19 - MS204-1: Consistent Parameter Distributions in High-dimensional Spaces: Built One Dimension at a Time Presentation: Troy Butler, University of Colorado, Denver, USA, 23 min 33 sec

CSE19 - MS204-1: Consistent Parameter Distributions in High-dimensional Spaces: Built One Dimension at a Time Document: CSE19 - MS204-1: Consistent Parameter Distributions in High-dimensional Spaces: Built One Dimension at a Time

CSE19 - MS204-2: Low-rank Structure in Optimization-based Sampling Presentation: Zheng Wang, Massachusetts Institute of Technology, U.S., 19 min 50 sec

CSE19 - MS204-2: Low-rank Structure in Optimization-based Sampling Document: CSE19 - MS204-2: Low-rank Structure in Optimization-based Sampling

CSE19 - MS204-3: Mitigating the Cost of PDE-constrained Bayesian Inverse Problems Using Dimensionality Reduction and Machine Learning Presentation: Sheroze Sheriffdeen, Institute for Computational Engineering and Sciences, U.S., 18 min 35 sec

CSE19 - MS204-3: Mitigating the Cost of PDE-constrained Bayesian Inverse Problems Using Dimensionality Reduction and Machine Learning Document: CSE19 - MS204-3: Mitigating the Cost of PDE-constrained Bayesian Inverse Problems Using Dimensionality Reduction and Machine Learning

CSE19 - MS204-4: Hierarchical Off-diagonal Low-rank Approximation for Hessians in Bayesian Inference Presentation: Tucker Hartland, University of California, Merced, U.S., 19 min 4 sec

CSE19 - MS204-4: Hierarchical Off-diagonal Low-rank Approximation for Hessians in Bayesian Inference Document: CSE19 - MS204-4: Hierarchical Off-diagonal Low-rank Approximation for Hessians in Bayesian Inference