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Low Rank Tensor Methods in High Dimensional Data Analysis (Part 1/2)
Presenter
- Ming Yuan
March 9, 2021
IPAM
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
Presenter
- Sammy Wu Fung
May 5, 2020
SLMath
Projected Stein variational methods for high-dimensional Bayesian inversion constrained by large-scale PDEs
Presenter
- Peng Chen
April 21, 2020
IPAM
A numerical method of solving high dimensional Hamilton-Jacobi equations with generalized Hopf-Lax formula
Presenter
- Yat Tin Chow
March 31, 2020
IPAM
Generalization Bounds for Distance-Based Learning with High-Dimensional Domains and Codomains
Presenter
- Cyrus Cousins
May 14, 2019
ICERM
Approximate Message Passing Algorithms for High-dimensional Statistical Estimation in Image Processing
Presenter
- Cynthia Rush
April 30, 2019
ICERM
Sparsity-enforced regularizations for optimal learning of high-dimensional systems from random data
Presenter
- Clayton Webster
October 17, 2018
IPAM
Stratification Learning with Computational Topology: Overview, Challenges, and Opportunities
Presenter
- Bei Wang
May 22, 2018
IMA
Factor Augmented Vector Autoregressive Models under High Dimensional Scaling
Presenter
- George Michailidis
February 22, 2018
IMA
Variable Targeting and Reduction in High-Dimensional Vector Autoregressions
Presenter
- Tucker McElroy
February 21, 2018
IMA
On the Likelihood Ratio Test in High Dimensional Logistic Regression
Presenter
- Pragya Sur
January 12, 2018
IPAM
Concentration of measure on the orthogonal group and high-dimensional geometry
Presenter
- Elizabeth Meckes
August 17, 2017
SLMath