Joey Huchette

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Juan Pablo VielmaResearch Scientist, GoogleVerified email at google.com
Miles LubinHudson River TradingVerified email at hudson-trading.com
Iain DunningDeepMindVerified email at google.com
Babak BehzadMachine Learning at SolvvyVerified email at illinois.edu
Benoît LegatPostdoctoral researcher in ESAT, KULeuvenVerified email at kuleuven.be
Suren BynaProfessor of Computer Science and Engineering, The Ohio State UniversityVerified email at osu.edu
Ross AndersonGoogleVerified email at google.com
Will MaColumbia UniversityVerified email at gsb.columbia.edu
Christian TjandraatmadjaGoogle ResearchVerified email at google.com
Cosmin G. PetraComputational Mathematician, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Marc SnirUniversity of Illinois at Urbana ChamapignVerified email at illinois.edu
Krunal PatelPhD, Polytechnique MontrealVerified email at polymtl.ca
Robin DeitsGraduate Student, Computer Science and Artificial Intelligence Laboratory, MITVerified email at csail.mit.edu
Santanu S. DeyGeorgia Institute of TechnologyVerified email at isye.gatech.edu
Haihao (Sean) LuAssistant Professor, MITVerified email at mit.edu
Vahab MirrokniGoogle Fellow, VP, Google ResearchVerified email at google.com
Hossein EsfandiariSenior Research Scientist at GoogleVerified email at seas.harvard.edu
Mihai AnitescuSenior Computational Mathematician, Argonne National LaboratoryVerified email at mcs.anl.gov
Hadley WickhamPosit / University of AucklandVerified email at rice.edu
Beatrice RiviereNoah G. Harding Chair and Prof. of Computational Applied Mathematics and Operations Research at RiceVerified email at rice.edu

Joey Huchette

Google Research

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Operations Research Optimization


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JuMP: A modeling language for mathematical optimization I Dunning, J Huchette, M Lubin SIAM review 59 (2), 295-320, 2017	1926	2017
Strong mixed-integer programming formulations for trained neural networks R Anderson, J Huchette, W Ma, C Tjandraatmadja, JP Vielma arXiv, arXiv: 1811.01988, 2020	297	2020
JuMP 1.0: Recent improvements to a modeling language for mathematical optimization M Lubin, O Dowson, JD Garcia, J Huchette, B Legat, JP Vielma Mathematical Programming Computation 15 (3), 581-589, 2023	192	2023
Taming parallel I/O complexity with auto-tuning B Behzad, HVT Luu, J Huchette, S Byna, Prabhat, R Aydt, Q Koziol, M Snir Proceedings of the international conference on high performance computing …, 2013	153	2013
The convex relaxation barrier, revisited: Tightened single-neuron relaxations for neural network verification C Tjandraatmadja, R Anderson, J Huchette, W Ma, KK Patel, JP Vielma Advances in Neural Information Processing Systems 33, 21675-21686, 2020	88	2020
Nonconvex piecewise linear functions: Advanced formulations and simple modeling tools J Huchette, JP Vielma Operations Research 71 (5), 1835-1856, 2023	68	2023
Extended formulations in mixed integer conic quadratic programming JP Vielma, I Dunning, J Huchette, M Lubin Mathematical Programming Computation 9, 369-418, 2017	53	2017
A combinatorial approach for small and strong formulations of disjunctive constraints J Huchette, JP Vielma Mathematics of Operations Research, 2019	43	2019
Parallel algebraic modeling for stochastic optimization J Huchette, M Lubin, C Petra 2014 First Workshop for High Performance Technical Computing in Dynamic …, 2014	29	2014
Sum-of-squares optimization in Julia B Legat, C Coey, R Deits, J Huchette, A Perry JuMP Developers Meetup/Workshop, 2017	28	2017
When deep learning meets polyhedral theory: A survey J Huchette, G Muñoz, T Serra, C Tsay arXiv preprint arXiv:2305.00241, 2023	25	2023
A framework for auto-tuning HDF5 applications B Behzad, J Huchette, HVT Luu, R Aydt, S Byna, Y Yao, Q Koziol, Prabhat Proceedings of the 22nd international symposium on High-performance parallel …, 2013	15	2013
On efficient Hessian computation using the edge pushing algorithm in Julia CG Petra, F Qiang, M Lubin, J Huchette Optimization Methods and Software 33 (4-6), 1010-1029, 2018	11*	2018
Compact mixed-integer programming formulations in quadratic optimization B Beach, R Hildebrand, J Huchette Journal of Global Optimization 84 (4), 869-912, 2022	9*	2022
Strong mixed-integer formulations for the floor layout problem J Huchette, SS Dey, JP Vielma INFOR: Information Systems and Operational Research 56 (4), 392-433, 2018	9	2018
A geometric way to build strong mixed-integer programming formulations J Huchette, JP Vielma Operations Research Letters 47 (6), 601-606, 2019	8	2019
Auto-tuning of Parallel I/O Parameters for HDF5 Applications B Behzad, J Huchette, H Luu, R Aydt, Q Koziol, M Prabhat, S Byna, ... 2012 SC Companion: High Performance Computing, Networking Storage and …, 2012	7	2012
Prabhat, Ruth Aydt, Quincey Koziol, and Marc Snir. 2013. Taming parallel I/O complexity with auto-tuning B Behzad, HVT Luu, J Huchette, S Byna Proceedings of 2013 International Conference for High Performance Computing …, 2013	6	2013
Contextual reserve price optimization in auctions via mixed integer programming J Huchette, H Lu, H Esfandiari, V Mirrokni Advances in Neural Information Processing Systems 33, 1287-1297, 2020	5	2020
Modeling combinatorial disjunctive constraints via junction trees B Lyu, IV Hicks, J Huchette Mathematical Programming 204 (1), 385-413, 2024	3	2024

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