A Trust-Region Algorithm with Adaptive Stochastic Collocation for PDE Optimization under Uncertainty. - Drew P. Kouri; Matthias Heinkenschloss; Denis Ridzal; Bart G. van Bloemen Waanders (SIAM J. Sci. Comput., 2013)

A Multilevel Stochastic Collocation Algorithm for Optimization of PDEs with Uncertain Coefficients. - Drew P. Kouri (SIAM/ASA J. Uncertain. Quantification, 2014)

Inexact Objective Function Evaluations in a Trust-Region Algorithm for PDE-Constrained Optimization under Uncertainty. - Drew P. Kouri; Matthias Heinkenschloss; Denis Ridzal; Bart G. van Bloemen Waanders (SIAM J. Sci. Comput., 2014)

Risk-Averse PDE-Constrained Optimization Using the Conditional Value-At-Risk. - Drew P. Kouri; Thomas M. Surowiec (SIAM J. Optim., 2016)

A Measure Approximation for Distributionally Robust PDE-Constrained Optimization Problems. - Drew P. Kouri (SIAM J. Numer. Anal., 2017)

Existence and Optimality Conditions for Risk-Averse PDE-Constrained Optimization. - Drew P. Kouri; Thomas M. Surowiec (SIAM/ASA J. Uncertain. Quantification, 2018)

An Efficient, Globally Convergent Method for Optimization Under Uncertainty Using Adaptive Model Reduction and Sparse Grids. - Matthew J. Zahr; Kevin T. Carlberg; Drew P. Kouri (SIAM/ASA J. Uncertain. Quantification, 2019)

Spectral risk measures: the risk quadrangle and optimal approximation. - Drew P. Kouri (Math. Program., 2019)

Higher-moment buffered probability. - Drew P. Kouri (Optim. Lett., 2019)

Correction to: Higher-moment buffered probability. - Drew P. Kouri (Optim. Lett., 2019)

Epi-Regularization of Risk Measures. - Drew P. Kouri; Thomas M. Surowiec (Math. Oper. Res., 2020)

Risk-Averse Control of Fractional Diffusion with Uncertain Exponent. - Harbir Antil; Drew P. Kouri; Johannes Pfefferer (SIAM J. Control. Optim., 2021)

Randomized Sketching Algorithms for Low-Memory Dynamic Optimization. - Ramchandran Muthukumar; Drew P. Kouri; Madeleine Udell (SIAM J. Optim., 2021)

KKT Preconditioners for PDE-Constrained Optimization with the Helmholtz Equation. - Drew P. Kouri; Denis Ridzal; Ray Tuminaro (SIAM J. Sci. Comput., 2021)

Spectral, Tensor and Domain Decomposition Methods for Fractional PDEs. - Tianyi Shi; Harbir Antil; Drew P. Kouri (Comput. Methods Appl. Math., 2022)

Risk-Adapted Optimal Experimental Design. - Drew P. Kouri; John D. Jakeman; J. Gabriel Huerta (SIAM/ASA J. Uncertain. Quantification, 2022)

A Locally Adapted Reduced-Basis Method for Solving Risk-Averse PDE-Constrained Optimization Problems. - Zilong Zou; Drew P. Kouri; Wilkins Aquino (SIAM/ASA J. Uncertain. Quantification, 2022)

A primal-dual algorithm for risk minimization. - Drew P. Kouri; Thomas M. Surowiec (Math. Program., 2022)

A matrix-free trust-region newton algorithm for convex-constrained optimization. - Drew P. Kouri (Optim. Lett., 2022)

Surrogate modeling for efficiently, accurately and conservatively estimating measures of risk. - John D. Jakeman; Drew P. Kouri; J. Gabriel Huerta (Reliab. Eng. Syst. Saf., 2022)

Corrigendum: "Existence and Optimality Conditions for Risk-Averse PDE-Constrained Optimization". - Drew P. Kouri; Thomas M. Surowiec (SIAM/ASA J. Uncertain. Quantification, 2022)

A proximal trust-region method for nonsmooth optimization with inexact function and gradient evaluations. - Robert J. Baraldi; Drew P. Kouri (Math. Program., 2023)

ALESQP: An Augmented Lagrangian Equality-Constrained SQP Method for Optimization with General Constraints. - Harbir Antil; Drew P. Kouri; Denis Ridzal (SIAM J. Optim., 2023)

A relaxation-based probabilistic approach for PDE-constrained optimization under uncertainty with pointwise state constraints. - Drew P. Kouri; Mathias Staudigl; Thomas M. Surowiec (Comput. Optim. Appl., 2023)

Efficient and robust optimal design for quantile regression based on linear programming. - Cheng Peng; Drew P. Kouri; Stan Uryasev (Comput. Stat. Data Anal., 2024)

Local convergence analysis of an inexact trust-region method for nonsmooth optimization. - Robert J. Baraldi; Drew P. Kouri (Optim. Lett., 2024)

Optimization problems governed by systems of PDEs with uncertainties. - Matthias Heinkenschloss; Drew P. Kouri (Acta Numer., 2025)

Efficient proximal subproblem solvers for a nonsmooth trust-region method. - Robert J. Baraldi; Drew P. Kouri (Comput. Optim. Appl., 2025)

Trilinos: Enabling Scientific Computing Across Diverse Hardware Architectures at Scale. - Matthias Mayr; Alexander Heinlein; Christian A. Glusa; Siva Rajamanickam; Maarten Arnst; Roscoe A. Bartlett; Luc Berger-Vergiat; Erik G. Boman; Karen D. Devine; Graham Harper; Michael A. Heroux; Mark Hoemmen; et al. (CoRR, 2025)