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Nicole Sanderson - The ABCs of topological data analysis for matrix analysis - IPAM at UCLA
Presenter
- Nicole Sanderson
February 15, 2024
IPAM
High order strong stability preserving IMEX Runge-Kutta methods with asymptotic preserving properties
Presenter
- Jingwei Hu
January 14, 2022
ICERM
Consistency of MLE for partially observed diffusions: application to market microstructure modeling
Presenter
- Sergey Nadtochiy
December 9, 2021
IMSI
High-dimensional omics data analysis with missing values
Presenter
- Anru Zhang
September 10, 2020
IAS
Lecture #3: Bounded gaps between volumes of orbifolds
Presenter
- Lola Thompson
September 4, 2020
SLMath
Learning probability distributions; What can, What can't be done
Presenter
- Shai Ben-David
May 7, 2020
IAS
Toward a theory of optimization for over-parameterized systems of non-linear equations: the lessons of deep learning
Presenter
- Mikhail Belkin
April 21, 2020
IPAM
Bregman proximal methods for semidefinite optimization
Presenter
- Lieven Vandenberghe
February 28, 2020
IPAM
Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning
Presenter
- Michael Mahoney
October 14, 2019
IPAM
