Joey Huchette

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 22

Top Topics

Piecewise Linear Functions

Trained Neural Networks

Integer Programming

Quadratic Program

Top Venues

INFOR Inf. Syst. Oper. Res.

Math. Program. Comput.

Publications

Bochuan Lyu, Illya V. Hicks, Joey Huchette
Modeling combinatorial disjunctive constraints via junction trees. Math. Program. 204 (1) (2024)
Joey Huchette, Juan Pablo Vielma
Nonconvex Piecewise Linear Functions: Advanced Formulations and Simple Modeling Tools. Oper. Res. 71 (5) (2023)
Joey Huchette, Gonzalo Muñoz, Thiago Serra, Calvin Tsay
When Deep Learning Meets Polyhedral Theory: A Survey. CoRR (2023)
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) (2023)
Raul Garcia, Illya V. Hicks, Joey Huchette
Combinatorial Disjunctive Constraints for Obstacle Avoidance in Path Planning. IROS (2023)
Tu Anh-Nguyen, Joey Huchette
Neural Network Verification as Piecewise Linear Optimization: Formulations for the Composition of Staircase Functions. CoRR (2022)
Miles Lubin, Oscar Dowson, Joaquim Dias Garcia, Joey Huchette, Benoît Legat, Juan Pablo Vielma
JuMP 1.0. CoRR (2022)
Benjamin Beach, Robert Hildebrand, Joey Huchette
Compact mixed-integer programming formulations in quadratic optimization. J. Glob. Optim. 84 (4) (2022)
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 (2020)
Joey Huchette, Haihao Lu, Hossein Esfandiari, Vahab S. Mirrokni
Contextual Reserve Price Optimization in Auctions via Mixed Integer Programming. NeurIPS (2020)
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)
Ross Anderson, Joey Huchette, Will Ma, Christian Tjandraatmadja, Juan Pablo Vielma
Strong mixed-integer programming formulations for trained neural networks. Math. Program. 183 (1) (2020)
Joey Huchette, Haihao Lu, Hossein Esfandiari, Vahab S. Mirrokni
Contextual Reserve Price Optimization in Auctions. CoRR (2020)
Joey Huchette, Juan Pablo Vielma
A Combinatorial Approach for Small and Strong Formulations of Disjunctive Constraints. Math. Oper. Res. 44 (3) (2019)
Joey Huchette, Juan Pablo Vielma
A geometric way to build strong mixed-integer programming formulations. Oper. Res. Lett. 47 (6) (2019)
Ross Anderson, Joey Huchette, Christian Tjandraatmadja, Juan Pablo Vielma
Strong Mixed-Integer Programming Formulations for Trained Neural Networks. IPCO (2019)
Ross Anderson, Joey Huchette, Christian Tjandraatmadja, Juan Pablo Vielma
Strong mixed-integer programming formulations for trained neural networks. CoRR (2018)
Joey Huchette, Santanu S. Dey, Juan Pablo Vielma
Strong mixed-integer formulations for the floor layout problem. INFOR Inf. Syst. Oper. Res. 56 (4) (2018)
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) (2018)
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) (2018)
Juan Pablo Vielma, Iain Dunning, Joey Huchette, Miles Lubin
Extended formulations in mixed integer conic quadratic programming. Math. Program. Comput. 9 (3) (2017)
Iain Dunning, Joey Huchette, Miles Lubin
JuMP: A Modeling Language for Mathematical Optimization. SIAM Rev. 59 (2) (2017)
Iain Dunning, Joey Huchette, Miles Lubin
JuMP: A Modeling Language for Mathematical Optimization. CoRR (2015)
Joey Huchette, Miles Lubin, Cosmin G. Petra
Parallel algebraic modeling for stochastic optimization. HPTCDL@SC (2014)
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)
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)