1 citations · 1 across the 8 of their papers we have counts for
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Statistical Inference for Scenario-Based Dynamic Optimization under Uncertainty
Aurya Javeed, Johannes Milz
Motivated by batch and semi-batch process operation, we study finite-horizon open-loop dynamic optimization problems with uncertain parameters. A common computational approach repl…
ProxSTORM -- A Stochastic Trust-Region Algorithm for Nonsmooth Optimization
Robert J. Baraldi, Aurya Javeed, Drew P. Kouri +1
We develop a stochastic trust-region algorithm for minimizing the sum of a Lipschitz-smooth but possibly nonconvex function and a convex but possibly nonsmooth function. Such a pro…
A Parallel-in-Time Multigrid Preconditioner for Optimal Control
Radoslav Vuchkov, Eric C. Cyr, Aurya Javeed +1
We develop a parallel-in-time multigrid preconditioner for augmented systems. These saddle-point systems are foundational to numerical optimization. Our preconditioner, when paired…
A Risk Management Perspective on Statistical Estimation and Generalized Variational Inference
Aurya S. Javeed, Drew P. Kouri, Thomas M. Surowiec
Generalized variational inference (GVI) provides an optimization-theoretic framework for statistical estimation that encapsulates many traditional estimation procedures. The typica…