In this post I provide some quick code snippets demonstrating how to use my C3 library to perform low-rank regression of scattered data. The approach is based on our recently accepted paper: In that paper, we demonstrate that this approach is valid on a wide number of data sets and compare Read more…
June 4-6 USC Workshop on Research Challenges and Opportunities at the interface of Machine Learning and Uncertainty Quantification
Regression in low-rank functional formats University of Southern California, Los Angles, CA http://hyperion.usc.edu/UQ-SciML-2018/
I will be giving a talk in Glasgow, Scotland in June. The conference details can be found here.
I will be giving a talk entitled Multifidelity model management using latent variable Bayesian networks at WCCM in New York, NY. The conference details are here.
Ezra Tal is giving a talk about our paper at the American Control Conference: Continuous Tensor Train-Based Dynamic Programming for High-Dimensional Zero-Sum Differential Games Milwaukee, WI
I gave a talk titled Sparse regularization for low-rank regression Orange County, CA
Talk entitled Multifidelity Model Management using Latent Variable Bayesian Networks Santa Fe, NM