Optimization under Uncertainty: Learning and Decision Making (Online)
Videos from BIRS Workshop
Darinka Dentcheva, Stevens Institute of Technology
Monday Feb 8, 2021 09:00 - 09:53
Subregular Recourse in Multistage Stochastic Optimization
Guzin Bayraksan, Ohio State University
Monday Feb 8, 2021 10:01 - 10:55
Data-driven sample average approximation with covariate information
Drew Kouri, Sandia National Laboratories
Monday Feb 8, 2021 11:04 - 11:49
A primal-dual algorithm for large-scale risk minimization
Youssef Marzouk, Massachusetts Institute of Technology
Monday Feb 8, 2021 12:00 - 12:55
Transport methods for likelihood-free inference and data assimilation
Georg Stadler, New York University
Tuesday Feb 9, 2021 09:00 - 09:53
Optimal control of PDEs under uncertainty with joint chance state constraints
Peng Chen, UT Austin
Tuesday Feb 9, 2021 10:04 - 10:59
Taylor approximation for PDE and chance constrained optimization under uncertainty
Bamdad Hosseini, California Institute of Technology
Wednesday Feb 10, 2021 09:02 - 09:57
Conditional Sampling with Monotone GANs: Modifying Generative Models to Solve Inverse Problems
Bodhisattva Sen, Columbia University
Thursday Feb 11, 2021 09:00 - 09:45
Nonparametric maximum likelihood estimation in heteroscedastic mixture models: density estimation, denoising and deconvolution
Bart van Bloemen Waanders, Sandia National Laboratories
Friday Feb 12, 2021 10:00 - 10:55
Hyper-differential sensitivity analysis for control under uncertainty of aerospace vehicles
Elizabeth Newman, Emory University
Friday Feb 12, 2021 11:00 - 11:51
Train Like a (VarPro): Efficient Training of Neural Networks with Variable Projection
