Jeffrey Larson

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 35

Top Topics

Unconstrained Optimization

Optimization Method

Convex Functions

Valid Inequalities

Top Venues

Eur. J. Oper. Res.

Publications

Prateek Jaiswal, Jeffrey Larson
Multistart algorithm for identifying all optima of nonconvex stochastic functions. Optim. Lett. 18 (6) (2024)
Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie E. Taylor, Mary W. Hall
Integrating ytopt and libEnsemble to Autotune OpenMC. CoRR (2024)
Jeffrey Larson, Matt Menickelly
Structure-aware methods for expensive derivative-free nonsmooth composite optimization. Math. Program. Comput. 16 (1) (2024)
Stephen Hudson, Jeffrey Larson, John-Luke Navarro, Stefan M. Wild
Portable, heterogeneous ensemble workflows at scale using libEnsemble. CoRR (2024)
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) (2024)
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)
Jeffrey Larson, Misha Padidar, Stefan M. Wild
Modeling approaches for addressing unrelaxable bound constraints with unconstrained optimization methods. Optim. Lett. 17 (3) (2023)
Ji Liu, Max Bowman, Pranav Gokhale, Siddharth Dangwal, Jeffrey Larson, Frederic T. Chong, Paul D. Hovland
QContext: Context-Aware Decomposition for Quantum Gates. CoRR (2023)
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 (2023)
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 (2023)
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)
Tianyi Hao, Ruslan Shaydulin, Marco Pistoia, Jeffrey Larson
Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization. CoRR (2022)
Ashish Kakkar, Jeffrey Larson, Alexey Galda, Ruslan Shaydulin
Characterizing Error Mitigation by Symmetry Verification in QAOA. QCE (2022)
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) (2022)
Kaiyan Shi, Rebekah Herrman, Ruslan Shaydulin, Shouvanik Chakrabarti, Marco Pistoia, Jeffrey Larson
Multiangle QAOA Does Not Always Need All Its Angles. SEC (2022)
Christian Kirches, Jeffrey Larson, Sven Leyffer, Paul Manns
Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints. SIAM J. Optim. 32 (1) (2022)
Fengqiao Luo, Jeffrey Larson
A Repeated Route-then-Schedule Approach to Coordinated Vehicle Platooning: Algorithms, Valid Inequalities and Computation. Oper. Res. 70 (4) (2022)
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) (2022)
Jeffrey Larson, Sven Leyffer, Prashant Palkar, Stefan M. Wild
A method for convex black-box integer global optimization. J. Glob. Optim. 80 (2) (2021)
Wei Tang, Teague Tomesh, Martin Suchara, Jeffrey Larson, Margaret Martonosi
CutQC: using small Quantum computers for large Quantum circuit evaluations. ASPLOS (2021)
Jeffrey Larson, Matt Menickelly, Baoyu Zhou
Manifold Sampling for Optimizing Nonsmooth Nonconvex Compositions. SIAM J. Optim. 31 (4) (2021)
Stephen Hudson, Jeffrey Larson, John-Luke Navarro, Stefan M. Wild
libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations. CoRR (2021)
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)
Wei Tang, Teague Tomesh, Jeffrey Larson, Martin Suchara, Margaret Martonosi
CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations. CoRR (2020)
Tyler H. Chang, Jeffrey Larson, Layne T. Watson, Thomas C. H. Lux
Managing Computationally Expensive Blackbox Multiobjective Optimization Problems Wwth Libensemble. SpringSim (2020)
Tyler H. Chang, Jeffrey Larson, Layne T. Watson
Multiobjective Optimization of the Variability of the High-Performance Linpack Solver. WSC (2020)
Jeffrey Larson, Matt Menickelly, Stefan M. Wild
Derivative-free optimization methods. Acta Numer. 28 (2019)
Ruslan Shaydulin, Ilya Safro, Jeffrey Larson
Multistart Methods for Quantum Approximate optimization. HPEC (2019)
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) (2018)
Jeffrey Larson, Stefan M. Wild
Asynchronously parallel optimization solver for finding multiple minima. Math. Program. Comput. 10 (3) (2018)
Mats Carlsson, Mikael Johansson, Jeffrey Larson
Scheduling double round-robin tournaments with divisional play using constraint programming. Eur. J. Oper. Res. 259 (3) (2017)
Vadim Sokolov, Jeffrey Larson, Todd S. Munson, Joshua Auld, Dominik Karbowski
Platoon formation maximization through centralized routing and departure time coordination. CoRR (2017)
Jeffrey Larson, Stephen C. Billups
Stochastic derivative-free optimization using a trust region framework. Comput. Optim. Appl. 64 (3) (2016)
Jeffrey Larson, Matt Menickelly, Stefan M. Wild
Nonconvex Optimization. SIAM J. Optim. 26 (4) (2016)
Jeffrey Larson, Todd S. Munson, Vadim Sokolov
Coordinated Platoon Routing in a Metropolitan Network. CSC (2016)
Jeffrey Larson, Kuo-Yun Liang, Karl Henrik Johansson
A Distributed Framework for Coordinated Heavy-Duty Vehicle Platooning. IEEE Trans. Intell. Transp. Syst. 16 (1) (2015)
Jeffrey Larson, Mikael Johansson, Mats Carlsson
An Integrated Constraint Programming Approach to Scheduling Sports Leagues with Divisional and Round-Robin Tournaments. CPAIOR (2014)
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) (2013)
Jeffrey Larson, Christoph Kammer, Kuo-Yun Liang, Karl Henrik Johansson
Coordinated route optimization for heavy-duty vehicle platoons. ITSC (2013)
Jeffrey Larson, Stefan M. Wild
Non-intrusive termination of noisy optimization. Optim. Methods Softw. 28 (5) (2013)