Miles Lubin

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 26

Top Topics

Stochastic Optimization

Top Venues

Math. Program. Comput.

Publications

David L. Applegate, Mateo Díaz, Haihao Lu, Miles Lubin
Infeasibility Detection with Primal-Dual Hybrid Gradient for Large-Scale Linear Programming. SIAM J. Optim. 34 (1) (2024)
Ilias Zadik, Miles Lubin, Juan Pablo Vielma
Shapes and recession cones in mixed-integer convex representability. Math. Program. 204 (1) (2024)
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)
David L. Applegate, Oliver Hinder, Haihao Lu, Miles Lubin
Faster first-order primal-dual methods for linear programming using restarts and sharpness. Math. Program. 201 (1) (2023)
Miles Lubin, Juan Pablo Vielma, Ilias Zadik
Mixed-Integer Convex Representability. Math. Oper. Res. 47 (1) (2022)
Miles Lubin, Oscar Dowson, Joaquim Dias Garcia, Joey Huchette, Benoît Legat, Juan Pablo Vielma
JuMP 1.0. CoRR (2022)
Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yangm, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Chen Binbin, He Minggui, Hao Hao, Zhang Zhiyu, An Zhiwu, Mao Kun
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. CoRR (2022)
Benoît Legat, Oscar Dowson, Joaquim Dias Garcia, Miles Lubin
MathOptInterface: A Data Structure for Mathematical Optimization Problems. INFORMS J. Comput. 34 (2) (2022)
David L. Applegate, Mateo Díaz, Oliver Hinder, Haihao Lu, Miles Lubin, Brendan O'Donoghue, Warren Schudy
Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient. NeurIPS (2021)
Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. NeurIPS (Competition and Demos) (2021)
Nick Doudchenko, Khashayar Khosravi, Jean Pouget-Abadie, Sébastien Lahaie, Miles Lubin, Vahab S. Mirrokni, Jann Spiess, Guido Imbens
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls. NeurIPS (2021)
Chris Coey, Miles Lubin, Juan Pablo Vielma
Outer approximation with conic certificates for mixed-integer convex problems. Math. Program. Comput. 12 (2) (2020)
Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs. ICLR (2020)
Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals
REGAL: Transfer Learning For Fast Optimization of Computation Graphs. CoRR (2019)
Miles Lubin, Emre Yamangil, Russell Bent, Juan Pablo Vielma
Polyhedral approximation in mixed-integer convex optimization. Math. Program. 172 (1-2) (2018)
Miles Lubin, Yury Dvorkin, Line Roald
Chance Constraints for Improving the Security of AC Optimal Power Flow. CoRR (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)
Miles Lubin, Ilias Zadik, Juan Pablo Vielma
Mixed-Integer Convex Representability. IPCO (2017)
Juan Pablo Vielma, Iain Dunning, Joey Huchette, Miles Lubin
Extended formulations in mixed integer conic quadratic programming. Math. Program. Comput. 9 (3) (2017)
Carleton Coffrin, Russell Bent, Kaarthik Sundar, Yeesian Ng, Miles Lubin
PowerModels.jl: An Open-Source Framework for Exploring Power Flow Formulations. CoRR (2017)
Iain Dunning, Joey Huchette, Miles Lubin
JuMP: A Modeling Language for Mathematical Optimization. SIAM Rev. 59 (2) (2017)
Jarrett Revels, Miles Lubin, Theodore Papamarkou
Forward-Mode Automatic Differentiation in Julia. CoRR (2016)
Kaarthik Sundar, Harsha Nagarajan, Miles Lubin, Line Roald, Sidhant Misra, Russell Bent, Daniel Bienstock
Unit commitment with N-1 Security and wind uncertainty. PSCC (2016)
Kaarthik Sundar, Harsha Nagarajan, Miles Lubin, Line Roald, Sidhant Misra, Russell Bent, Daniel Bienstock
Unit Commitment with N-1 Security and Wind Uncertainty. CoRR (2016)
Miles Lubin, Emre Yamangil, Russell Bent, Juan Pablo Vielma
Extended Formulations in Mixed-Integer Convex Programming. IPCO (2016)
Dimitris Bertsimas, Iain Dunning, Miles Lubin
Reformulation versus cutting-planes for robust optimization. Comput. Manag. Sci. 13 (2) (2016)
Miles Lubin, Iain Dunning
Computing in Operations Research Using Julia. INFORMS J. Comput. 27 (2) (2015)
Iain Dunning, Vishal Gupta, Angela King, Jerry Kung, Miles Lubin, John Silberholz
A Course on Advanced Software Tools for Operations Research and Analytics. INFORMS Trans. Educ. 15 (2) (2015)
Iain Dunning, Joey Huchette, Miles Lubin
JuMP: A Modeling Language for Mathematical Optimization. CoRR (2015)
Cosmin G. Petra, Olaf Schenk, Miles Lubin, Klaus Gärtner
An Augmented Incomplete Factorization Approach for Computing the Schur Complement in Stochastic Optimization. SIAM J. Sci. Comput. 36 (2) (2014)
Joey Huchette, Miles Lubin, Cosmin G. Petra
Parallel algebraic modeling for stochastic optimization. HPTCDL@SC (2014)
Miles Lubin, Iain Dunning
Computing in Operations Research using Julia. CoRR (2013)
Miles Lubin, J. A. Julian Hall, Cosmin G. Petra, Mihai Anitescu
Parallel distributed-memory simplex for large-scale stochastic LP problems. Comput. Optim. Appl. 55 (3) (2013)
Miles Lubin, R. Kipp Martin, Cosmin G. Petra, Burhaneddin Sandikçi
On parallelizing dual decomposition in stochastic integer programming. Oper. Res. Lett. 41 (3) (2013)
Miles Lubin, Cosmin G. Petra, Mihai Anitescu
The parallel solution of dense saddle-point linear systems arising in stochastic programming. Optim. Methods Softw. 27 (4-5) (2012)
Miles Lubin, Cosmin G. Petra, Mihai Anitescu, Victor M. Zavala
Scalable stochastic optimization of complex energy systems. SC (2011)