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ORCIDJeffrey Larson 0001
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- affiliation: Argonne National Laboratory, Mathematics and Computer Science Division, Lemont, IL, USA
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2020 – today
- 2024
[j23]Amir Davatgari
, Taner Cokyasar, Anirudh Subramanyam, Jeffrey Larson, Abolfazl (Kouros) Mohammadian:
Electric vehicle supply equipment location and capacity allocation for fixed-route networks. Eur. J. Oper. Res. 317(3): 953-966 (2024)- [j22]Fengqiao Luo, Jeffrey Larson:
An Empirical Quantile Estimation Approach for Chance-Constrained Nonlinear Optimization Problems. J. Optim. Theory Appl. 203(1): 767-809 (2024) - [j21]Jeffrey Larson, Matt Menickelly:
Structure-aware methods for expensive derivative-free nonsmooth composite optimization. Math. Program. Comput. 16(1): 1-36 (2024) - [j20]Prateek Jaiswal, Jeffrey Larson:
Multistart algorithm for identifying all optima of nonconvex stochastic functions. Optim. Lett. 18(6): 1335-1360 (2024) - [j19]Prateek Jaiswal, Jeffrey Larson:
Correction: Multistart algorithm for identifying all optima of nonconvex stochastic functions. Optim. Lett. 18(7): 1755 (2024) - [i10]Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Integrating ytopt and libEnsemble to Autotune OpenMC. CoRR abs/2402.09222 (2024) - [i9]Stephen Hudson, Jeffrey Larson, John-Luke Navarro, Stefan M. Wild:
Portable, heterogeneous ensemble workflows at scale using libEnsemble. CoRR abs/2403.03709 (2024) - [i8]Tianyi Hao, Zichang He, Ruslan Shaydulin, Jeffrey Larson, Marco Pistoia:
End-to-End Protocol for High-Quality QAOA Parameters with Few Shots. CoRR abs/2408.00557 (2024) - 2023
- [j18]Nicole Neveu, Tyler H. Chang, Paris Franz, Stephen Hudson, Jeffrey Larson:
Comparison of multiobjective optimization methods for the LCLS-II photoinjector. Comput. Phys. Commun. 283: 108566 (2023) - [j17]Jeffrey Larson, Misha Padidar, Stefan M. Wild:
Modeling approaches for addressing unrelaxable bound constraints with unconstrained optimization methods. Optim. Lett. 17(3): 561-589 (2023) - [j16]Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen:
Binary Control Pulse Optimization for Quantum Systems. Quantum 7: 892 (2023) - [c12]Ji Liu, Max Bowman, Pranav Gokhale, Siddharth Dangwal, Jeffrey Larson, Frederic T. Chong, Paul D. Hovland:
QContext: Context-Aware Decomposition for Quantum Gates. ISCAS 2023: 1-5 - [i7]Ji Liu, Max Bowman, Pranav Gokhale, Siddharth Dangwal, Jeffrey Larson, Frederic T. Chong, Paul D. Hovland:
QContext: Context-Aware Decomposition for Quantum Gates. CoRR abs/2302.02003 (2023) - [i6]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:
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem. CoRR abs/2308.02342 (2023) - 2022
- [j15]Fengqiao Luo, Jeffrey Larson:
A Repeated Route-then-Schedule Approach to Coordinated Vehicle Platooning: Algorithms, Valid Inequalities and Computation. Oper. Res. 70(4): 2477-2495 (2022) - [j14]Christian Kirches, Jeffrey Larson, Sven Leyffer, Paul Manns:
Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints. SIAM J. Optim. 32(1): 75-99 (2022) - [j13]Tyler H. Chang, Layne T. Watson, Jeffrey Larson, Nicole Neveu, William I. Thacker, Shubhangi G. Deshpande, Thomas C. H. Lux:
Algorithm 1028: VTMOP: Solver for Blackbox Multiobjective Optimization Problems. ACM Trans. Math. Softw. 48(3): 36:1-36:34 (2022) - [j12]Stephen Hudson, Jeffrey Larson, John-Luke Navarro, Stefan M. Wild:
libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations. IEEE Trans. Parallel Distributed Syst. 33(4): 977-988 (2022) - [c11]Kaiyan Shi, Rebekah Herrman, Ruslan Shaydulin, Shouvanik Chakrabarti, Marco Pistoia, Jeffrey Larson:
Multiangle QAOA Does Not Always Need All Its Angles. SEC 2022: 414-419 - [c10]Ashish Kakkar, Jeffrey Larson, Alexey Galda, Ruslan Shaydulin:
Characterizing Error Mitigation by Symmetry Verification in QAOA. QCE 2022: 635-645 - [c9]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:
Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. WORKS@SC 2022: 84-92 - [i5]Tianyi Hao, Ruslan Shaydulin, Marco Pistoia, Jeffrey Larson:
Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization. CoRR abs/2211.07016 (2022) - 2021
- [j11]Jeffrey Larson, Sven Leyffer, Prashant Palkar, Stefan M. Wild:
A method for convex black-box integer global optimization. J. Glob. Optim. 80(2): 439-477 (2021) - [j10]Jeffrey Larson, Matt Menickelly, Baoyu Zhou:
Manifold Sampling for Optimizing Nonsmooth Nonconvex Compositions. SIAM J. Optim. 31(4): 2638-2664 (2021) - [c8]Wei Tang, Teague Tomesh, Martin Suchara, Jeffrey Larson, Margaret Martonosi:
CutQC: using small Quantum computers for large Quantum circuit evaluations. ASPLOS 2021: 473-486 - [c7]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:
Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education. WORKS 2021: 74-80 - [i4]Stephen Hudson, Jeffrey Larson, John-Luke Navarro, Stefan M. Wild:
libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations. CoRR abs/2104.08322 (2021) - [i3]Ethan Smith, Marc Grau Davis, Jeffrey M. Larson, Ed Younis, Costin Iancu, Wim Lavrijsen:
LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach. CoRR abs/2106.11246 (2021) - 2020
- [c6]Tyler H. Chang, Jeffrey Larson, Layne T. Watson, Thomas C. H. Lux:
Managing Computationally Expensive Blackbox Multiobjective Optimization Problems Wwth Libensemble. SpringSim 2020: 1-12 - [c5]Tyler H. Chang, Jeffrey Larson, Layne T. Watson:
Multiobjective Optimization of the Variability of the High-Performance Linpack Solver. WSC 2020: 3081-3092 - [i2]Wei Tang, Teague Tomesh, Jeffrey Larson, Martin Suchara, Margaret Martonosi:
CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations. CoRR abs/2012.02333 (2020)
2010 – 2019
- 2019
- [j9]Jeffrey Larson, Matt Menickelly, Stefan M. Wild:
Derivative-free optimization methods. Acta Numer. 28: 287-404 (2019) - [c4]Ruslan Shaydulin, Ilya Safro, Jeffrey Larson:
Multistart Methods for Quantum Approximate optimization. HPEC 2019: 1-8 - 2018
- [j8]Jeffrey Larson, Stefan M. Wild:
Asynchronously parallel optimization solver for finding multiple minima. Math. Program. Comput. 10(3): 303-332 (2018) - [j7]Kamil A. Khan, Jeffrey Larson, Stefan M. Wild:
Manifold Sampling for Optimization of Nonconvex Functions That Are Piecewise Linear Compositions of Smooth Components. SIAM J. Optim. 28(4): 3001-3024 (2018) - 2017
- [j6]Mats Carlsson, Mikael Johansson, Jeffrey Larson:
Scheduling double round-robin tournaments with divisional play using constraint programming. Eur. J. Oper. Res. 259(3): 1180-1190 (2017) - [i1]Vadim Sokolov, Jeffrey Larson, Todd S. Munson, Joshua Auld, Dominik Karbowski:
Platoon formation maximization through centralized routing and departure time coordination. CoRR abs/1701.01391 (2017) - 2016
- [j5]Jeffrey Larson, Stephen C. Billups:
Stochastic derivative-free optimization using a trust region framework. Comput. Optim. Appl. 64(3): 619-645 (2016) - [j4]Jeffrey Larson, Matt Menickelly, Stefan M. Wild:
Manifold Sampling for ℓ1 Nonconvex Optimization. SIAM J. Optim. 26(4): 2540-2563 (2016) - [c3]Jeffrey Larson, Todd S. Munson, Vadim Sokolov:
Coordinated Platoon Routing in a Metropolitan Network. CSC 2016: 73-82 - 2015
- [j3]Jeffrey Larson, Kuo-Yun Liang, Karl Henrik Johansson:
A Distributed Framework for Coordinated Heavy-Duty Vehicle Platooning. IEEE Trans. Intell. Transp. Syst. 16(1): 419-429 (2015) - 2014
- [c2]Jeffrey Larson, Mikael Johansson, Mats Carlsson:
An Integrated Constraint Programming Approach to Scheduling Sports Leagues with Divisional and Round-Robin Tournaments. CPAIOR 2014: 144-158 - 2013
- [j2]Jeffrey Larson, Stefan M. Wild:
Non-intrusive termination of noisy optimization. Optim. Methods Softw. 28(5): 993-1011 (2013) - [j1]Stephen C. Billups, Jeffrey Larson, Peter A. Graf:
Derivative-Free Optimization of Expensive Functions with Computational Error Using Weighted Regression. SIAM J. Optim. 23(1): 27-53 (2013) - [c1]Jeffrey Larson, Christoph Kammer, Kuo-Yun Liang, Karl Henrik Johansson:
Coordinated route optimization for heavy-duty vehicle platoons. ITSC 2013: 1196-1202
Coauthor Index
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