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Joey Huchette
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2020 – today
- 2024
- [j12]Bochuan Lyu, Illya V. Hicks, Joey Huchette:
Modeling combinatorial disjunctive constraints via junction trees. Math. Program. 204(1): 385-413 (2024) - 2023
- [j11]Joey Huchette, Juan Pablo Vielma:
Nonconvex Piecewise Linear Functions: Advanced Formulations and Simple Modeling Tools. Oper. Res. 71(5): 1835-1856 (2023) - [j10]Miles Lubin, Oscar Dowson, Joaquim Dias Garcia, Joey Huchette, Benoît Legat, Juan Pablo Vielma:
JuMP 1.0: recent improvements to a modeling language for mathematical optimization. Math. Program. Comput. 15(3): 581-589 (2023) - [c8]Raul Garcia, Illya V. Hicks, Joey Huchette:
Combinatorial Disjunctive Constraints for Obstacle Avoidance in Path Planning. IROS 2023: 267-273 - [i7]Joey Huchette, Gonzalo Muñoz, Thiago Serra, Calvin Tsay:
When Deep Learning Meets Polyhedral Theory: A Survey. CoRR abs/2305.00241 (2023) - 2022
- [j9]Benjamin Beach, Robert Hildebrand, Joey Huchette:
Compact mixed-integer programming formulations in quadratic optimization. J. Glob. Optim. 84(4): 869-912 (2022) - [i6]Miles Lubin, Oscar Dowson, Joaquim Dias Garcia, Joey Huchette, Benoît Legat, Juan Pablo Vielma:
JuMP 1.0. CoRR abs/2206.03866 (2022) - [i5]Tu Anh-Nguyen, Joey Huchette:
Neural Network Verification as Piecewise Linear Optimization: Formulations for the Composition of Staircase Functions. CoRR abs/2211.14706 (2022) - 2020
- [j8]Ross Anderson, Joey Huchette, Will Ma, Christian Tjandraatmadja, Juan Pablo Vielma:
Strong mixed-integer programming formulations for trained neural networks. Math. Program. 183(1): 3-39 (2020) - [c7]Joey Huchette, Haihao Lu, Hossein Esfandiari, Vahab S. Mirrokni:
Contextual Reserve Price Optimization in Auctions via Mixed Integer Programming. NeurIPS 2020 - [c6]Christian Tjandraatmadja, Ross Anderson, Joey Huchette, Will Ma, Krunal Patel, Juan Pablo Vielma:
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification. NeurIPS 2020 - [i4]Joey Huchette, Haihao Lu, Hossein Esfandiari, Vahab S. Mirrokni:
Contextual Reserve Price Optimization in Auctions. CoRR abs/2002.08841 (2020) - [i3]Christian Tjandraatmadja, Ross Anderson, Joey Huchette, Will Ma, Krunal Patel, Juan Pablo Vielma:
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification. CoRR abs/2006.14076 (2020)
2010 – 2019
- 2019
- [j7]Joey Huchette, Juan Pablo Vielma:
A Combinatorial Approach for Small and Strong Formulations of Disjunctive Constraints. Math. Oper. Res. 44(3): 793-820 (2019) - [j6]Joey Huchette, Juan Pablo Vielma:
A geometric way to build strong mixed-integer programming formulations. Oper. Res. Lett. 47(6): 601-606 (2019) - [c5]Ross Anderson, Joey Huchette, Christian Tjandraatmadja, Juan Pablo Vielma:
Strong Mixed-Integer Programming Formulations for Trained Neural Networks. IPCO 2019: 27-42 - 2018
- [j5]Joey Huchette, Santanu S. Dey, Juan Pablo Vielma:
Strong mixed-integer formulations for the floor layout problem. INFOR Inf. Syst. Oper. Res. 56(4): 392-433 (2018) - [j4]Joey Huchette, Santanu S. Dey, Juan Pablo Vielma:
Beating the SDP bound for the floor layout problem: a simple combinatorial idea. INFOR Inf. Syst. Oper. Res. 56(4): 457-481 (2018) - [j3]Cosmin G. Petra, Feng Qiang, Miles Lubin, Joey Huchette:
On efficient Hessian computation using the edge pushing algorithm in Julia. Optim. Methods Softw. 33(4-6): 1010-1029 (2018) - [i2]Ross Anderson, Joey Huchette, Christian Tjandraatmadja, Juan Pablo Vielma:
Strong mixed-integer programming formulations for trained neural networks. CoRR abs/1811.08359 (2018) - 2017
- [j2]Juan Pablo Vielma, Iain Dunning, Joey Huchette, Miles Lubin:
Extended formulations in mixed integer conic quadratic programming. Math. Program. Comput. 9(3): 369-418 (2017) - [j1]Iain Dunning, Joey Huchette, Miles Lubin:
JuMP: A Modeling Language for Mathematical Optimization. SIAM Rev. 59(2): 295-320 (2017) - 2015
- [i1]Iain Dunning, Joey Huchette, Miles Lubin:
JuMP: A Modeling Language for Mathematical Optimization. CoRR abs/1508.01982 (2015) - 2014
- [c4]Joey Huchette, Miles Lubin, Cosmin G. Petra:
Parallel algebraic modeling for stochastic optimization. HPTCDL@SC 2014: 29-35 - 2013
- [c3]Babak Behzad, Joey Huchette, Huong Vu Thanh Luu, Ruth A. Aydt, Surendra Byna, Yushu Yao, Quincey Koziol, Prabhat:
A framework for auto-tuning HDF5 applications. HPDC 2013: 127-128 - [c2]Babak Behzad, Huong Vu Thanh Luu, Joseph Huchette, Surendra Byna, Prabhat, Ruth A. Aydt, Quincey Koziol, Marc Snir:
Taming parallel I/O complexity with auto-tuning. SC 2013: 68:1-68:12 - 2012
- [c1]Babak Behzad, Joey Huchette, Huong Luu, Ruth A. Aydt, Quincey Koziol, Prabhat, Surendra Byna, Mohamad Chaarawi, Yushu Yao:
Abstract: Auto-Tuning of Parallel IO Parameters for HDF5 Applications. SC Companion 2012: 1430
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