Jeffrey Larson

According to our database, Jeffrey Larson authored at least 42 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

An Empirical Quantile Estimation Approach for Chance-Constrained Nonlinear Optimization Problems.

Fengqiao Luo, Jeffrey Larson

J. Optim. Theory Appl., October, 2024

Correction: Multistart algorithm for identifying all optima of nonconvex stochastic functions.

Prateek Jaiswal, Jeffrey Larson

Optim. Lett., September, 2024

Multistart algorithm for identifying all optima of nonconvex stochastic functions.

Prateek Jaiswal, Jeffrey Larson

Optim. Lett., July, 2024

Structure-aware methods for expensive derivative-free nonsmooth composite optimization.

Jeffrey Larson, Matt Menickelly

Math. Program. Comput., 2024

Electric vehicle supply equipment location and capacity allocation for fixed-route networks.

Amir Davatgari, Taner Cokyasar, Anirudh Subramanyam, Jeffrey Larson, Abolfazl (Kouros) Mohammadian

Eur. J. Oper. Res., 2024

End-to-End Protocol for High-Quality QAOA Parameters with Few Shots.

Tianyi Hao, Zichang He, Ruslan Shaydulin, Jeffrey Larson, Marco Pistoia

CoRR, 2024

Portable, heterogeneous ensemble workflows at scale using libEnsemble.

Stephen Hudson, Jeffrey Larson, John-Luke Navarro, Stefan M. Wild

CoRR, 2024

Integrating ytopt and libEnsemble to Autotune OpenMC.

Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall

CoRR, 2024

2023

Modeling approaches for addressing unrelaxable bound constraints with unconstrained optimization methods.

Jeffrey Larson, Misha Padidar, Stefan M. Wild

Optim. Lett., April, 2023

Binary Control Pulse Optimization for Quantum Systems.

Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen

Quantum, January, 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

Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem.

Ruslan Shaydulin, Changhao Li, Shouvanik Chakrabarti, Matthew DeCross, Dylan Herman, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Pierre Minssen, Yue Sun, Yuri Alexeev, Joan M. Dreiling, John P. Gaebler, Thomas M. Gatterman, Justin A. Gerber, Kevin Gilmore, Dan Gresh, Nathan Hewitt, Chandler V. Horst, Shaohan Hu, Jacob Johansen, Mitchell Matheny, Tanner Mengle, Michael Mills, Steven A. Moses, Brian Neyenhuis, Peter Siegfried, Romina Yalovetzky, Marco Pistoia

CoRR, 2023

QContext: Context-Aware Decomposition for Quantum Gates.

Ji Liu, Max Bowman, Pranav Gokhale, Siddharth Dangwal, Jeffrey Larson, Frederic T. Chong, Paul D. Hovland

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022

libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations.

Stephen Hudson, Jeffrey Larson, John-Luke Navarro, Stefan M. Wild

IEEE Trans. Parallel Distributed Syst., 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

Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints.

Christian Kirches, Jeffrey Larson, Sven Leyffer, Paul Manns

SIAM J. Optim., 2022

A Repeated Route-then-Schedule Approach to Coordinated Vehicle Platooning: Algorithms, Valid Inequalities and Computation.

Fengqiao Luo, Jeffrey Larson

Oper. Res., 2022

Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization.

Tianyi Hao, Ruslan Shaydulin, Marco Pistoia, Jeffrey Larson

CoRR, 2022

Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows.

Ishan Abhinit, Emily K. Adams, Khairul Alam, Brian Chase, Ewa Deelman, Lev Gorenstein, Stephen Hudson, Tanzima Z. Islam, Jeffrey Larson, Geoffrey Lentner, Anirban Mandal, John-Luke Navarro, Bogdan Nicolae, Line Pouchard, Robert B. Ross, Banani Roy, Mats Rynge, Alexander Serebrenik, Karan Vahi, Stefan M. Wild, Yufeng Xin, Rafael Ferreira da Silva, Rosa Filgueira

Proceedings of the IEEE/ACM Workshop on Workflows in Support of Large-Scale Science, 2022

Characterizing Error Mitigation by Symmetry Verification in QAOA.

Ashish Kakkar, Jeffrey Larson, Alexey Galda, Ruslan Shaydulin

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Multiangle QAOA Does Not Always Need All Its Angles.

Kaiyan Shi, Rebekah Herrman, Ruslan Shaydulin, Shouvanik Chakrabarti, Marco Pistoia, Jeffrey Larson

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

2021

Manifold Sampling for Optimizing Nonsmooth Nonconvex Compositions.

Jeffrey Larson, Matt Menickelly, Baoyu Zhou

SIAM J. Optim., 2021

A method for convex black-box integer global optimization.

Jeffrey Larson, Sven Leyffer, Prashant Palkar, Stefan M. Wild

J. Glob. Optim., 2021

LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach.

Ethan Smith, Marc Grau Davis, Jeffrey M. Larson, Ed Younis, Costin Iancu, Wim Lavrijsen

CoRR, 2021

Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education.

Henri Casanova, Ewa Deelman, Sandra Gesing, Michael D. Hildreth, Stephen Hudson, William Koch, Jeffrey Larson, Mary Ann McDowell, Natalie Meyers, John-Luke Navarro, George Papadimitriou, Ryan Tanaka, Ian J. Taylor, Douglas Thain, Stefan M. Wild, Rosa Filgueira, Rafael Ferreira da Silva

Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

CutQC: using small Quantum computers for large Quantum circuit evaluations.

Wei Tang, Teague Tomesh, Martin Suchara, Jeffrey Larson, Margaret Martonosi

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

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

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

Derivative-free optimization methods.

Jeffrey Larson, Matt Menickelly, Stefan M. Wild

Acta Numer., 2019

Multistart Methods for Quantum Approximate optimization.

Ruslan Shaydulin, Ilya Safro, Jeffrey Larson

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

2018

Manifold Sampling for Optimization of Nonconvex Functions That Are Piecewise Linear Compositions of Smooth Components.

Kamil A. Khan, Jeffrey Larson, Stefan M. Wild

SIAM J. Optim., 2018

Asynchronously parallel optimization solver for finding multiple minima.

Jeffrey Larson, Stefan M. Wild

Math. Program. Comput., 2018

2017

Scheduling double round-robin tournaments with divisional play using constraint programming.

Mats Carlsson, Mikael Johansson, Jeffrey Larson

Eur. J. Oper. Res., 2017

Platoon formation maximization through centralized routing and departure time coordination.

Vadim Sokolov, Jeffrey Larson, Todd S. Munson, Joshua Auld, Dominik Karbowski

CoRR, 2017

2016

Manifold Sampling for ℓ₁ Nonconvex Optimization.

Jeffrey Larson, Matt Menickelly, Stefan M. Wild

SIAM J. Optim., 2016

Stochastic derivative-free optimization using a trust region framework.

Jeffrey Larson, Stephen C. Billups

Comput. Optim. Appl., 2016

Coordinated Platoon Routing in a Metropolitan Network.

Jeffrey Larson, Todd S. Munson, Vadim Sokolov

Proceedings of the 2016 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, 2016

2015

A Distributed Framework for Coordinated Heavy-Duty Vehicle Platooning.

Jeffrey Larson, Kuo-Yun Liang, Karl Henrik Johansson

IEEE Trans. Intell. Transp. Syst., 2015

2014

An Integrated Constraint Programming Approach to Scheduling Sports Leagues with Divisional and Round-Robin Tournaments.

Jeffrey Larson, Mikael Johansson, Mats Carlsson

Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2014

2013

Derivative-Free Optimization of Expensive Functions with Computational Error Using Weighted Regression.

Stephen C. Billups, Jeffrey Larson, Peter A. Graf

SIAM J. Optim., 2013

Non-intrusive termination of noisy optimization.

Jeffrey Larson, Stefan M. Wild

Optim. Methods Softw., 2013

Coordinated route optimization for heavy-duty vehicle platoons.

Jeffrey Larson, Christoph Kammer, Kuo-Yun Liang, Karl Henrik Johansson

Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013