Tyler H. Chang

According to our database, Tyler H. Chang authored at least 24 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Leveraging interpolation models and error bounds for verifiable scientific machine learning.

Tyler H. Chang, Andrew Gillette, Romit Maulik

J. Comput. Phys., 2025

2024

Remark on Algorithm 1012: Computing Projections with Large Datasets.

Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri

ACM Trans. Math. Softw., June, 2024

2023

Algorithm 1031: MQSI - Monotone Quintic Spline Interpolation.

Thomas Lux, Layne T. Watson, Tyler H. Chang, William I. Thacker

ACM Trans. Math. Softw., March, 2023

ParMOO: A Python library for parallel multiobjective simulation optimization.

Tyler H. Chang, Stefan M. Wild

J. Open Source Softw., February, 2023

Comparison of multiobjective optimization methods for the LCLS-II photoinjector.

Nicole Neveu, Tyler H. Chang, Paris Franz, Stephen Hudson, Jeffrey Larson

Comput. Phys. Commun., 2023

Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives.

Romain Egele, Tyler H. Chang, Yixuan Sun, Venkatram Vishwanath, Prasanna Balaprakash

CoRR, 2023

A framework for fully autonomous design of materials via multiobjective optimization and active learning: challenges and next steps.

Tyler H. Chang, Jakob R. Elias, Stefan M. Wild, Santanu Chaudhuri, Joseph A. Libera

CoRR, 2023

Designing a Framework for Solving Multiobjective Simulation Optimization Problems.

Tyler H. Chang, Stefan M. Wild

CoRR, 2023

SF-SFD: Stochastic Optimization of Fourier Coefficients to Generate Space-Filling Designs.

Manisha Garg, Tyler H. Chang, Krishnan Raghavan

Proceedings of the Winter Simulation Conference, 2023

2022

Algorithm 1028: VTMOP: Solver for Blackbox Multiobjective Optimization Problems.

Tyler H. Chang, Layne T. Watson, Jeffrey Larson, Nicole Neveu, William I. Thacker, Shubhangi G. Deshpande, Thomas C. H. Lux

ACM Trans. Math. Softw., 2022

2021

Interpolation of sparse high-dimensional data.

Thomas C. H. Lux, Layne T. Watson, Tyler H. Chang, Yili Hong, Kirk W. Cameron

Numer. Algorithms, 2021

2020

Mathematical Software for Multiobjective Optimization Problems.

Tyler H. Chang

PhD thesis, 2020

Algorithm 1012: DELAUNAYSPARSE: Interpolation via a Sparse Subset of the Delaunay Triangulation in Medium to High Dimensions.

Tyler H. Chang, Layne T. Watson, Thomas C. H. Lux, Ali Raza Butt, Kirk W. Cameron, Yili Hong

ACM Trans. Math. Softw., 2020

Modeling I/O performance variability in high-performance computing systems using mixture distributions.

Li Xu, Yueyao Wang, Thomas Lux, Tyler H. Chang, Jon Bernard, Bo Li, Yili Hong, Kirk W. Cameron, Layne T. Watson

J. Parallel Distributed Comput., 2020

Prediction of High-Performance Computing Input/Output Variability and Its Application to Optimization for System Configurations.

Li Xu, Thomas Lux, Tyler H. Chang, Bo Li, Yili Hong, Layne T. Watson, Ali Raza Butt, Danfeng Yao, Kirk W. Cameron

CoRR, 2020

Multiobjective Optimization of the Variability of the High-Performance Linpack Solver.

Tyler H. Chang, Jeffrey Larson, Layne T. Watson

Proceedings of the Winter Simulation Conference, 2020

An Algorithm for Constructing Monotone Quintic Interpolating Splines.

Thomas C. H. Lux, Layne T. Watson, Tyler H. Chang, Li Xu, Yueyao Wang, Yili Hong

Proceedings of the Spring Simulation Conference, 2020

Managing Computationally Expensive Blackbox Multiobjective Optimization Problems Wwth Libensemble.

Tyler H. Chang, Jeffrey Larson, Layne T. Watson, Thomas C. H. Lux

Proceedings of the Spring Simulation Conference, 2020

2019

Least-squares solutions to polynomial systems of equations with quantum annealing.

Tyler H. Chang, Thomas C. H. Lux, Sai Sindhura Tipirneni

Quantum Inf. Process., 2019

2018

Predictive modeling of I/O characteristics in high performance computing systems.

Thomas C. H. Lux, Layne T. Watson, Tyler H. Chang, Jon Bernard, Bo Li, Li Xu, Godmar Back, Ali Raza Butt, Kirk W. Cameron, Yili Hong

Proceedings of the High Performance Computing Symposium, 2018

Predicting system performance by interpolation using a high-dimensional delaunay triangulation.

Tyler H. Chang, Layne T. Watson, Thomas C. H. Lux, Jon Bernard, Bo Li, Li Xu, Godmar Back, Ali Raza Butt, Kirk W. Cameron, Yili Hong

Proceedings of the High Performance Computing Symposium, 2018

Novel meshes for multivariate interpolation and approximation.

Thomas C. H. Lux, Layne T. Watson, Tyler H. Chang, Jon Bernard, Bo Li, Xiaodong Yu, Li Xu, Godmar Back, Ali Raza Butt, Kirk W. Cameron, Danfeng Yao, Yili Hong

Proceedings of the ACMSE 2018 Conference, Richmond, KY, USA, March 29-31, 2018, 2018

A polynomial time algorithm for multivariate interpolation in arbitrary dimension via the Delaunay triangulation.

Tyler H. Chang, Layne T. Watson, Thomas C. H. Lux, Bo Li, Li Xu, Ali Raza Butt, Kirk W. Cameron, Yili Hong

Proceedings of the ACMSE 2018 Conference, Richmond, KY, USA, March 29-31, 2018, 2018

2017

Global deterministic and stochastic optimization in a service oriented architecture.

Chaitra Raghunath, Tyler H. Chang, Layne T. Watson, Mohamed Jrad, Rakesh K. Kapania, Raymond M. Kolonay

Proceedings of the 25th High Performance Computing Symposium, Virginia Beach, VA, USA, April 23, 2017