Miles Lubin

36 papers A* 3A 1B 2Journal 27Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Infeasibility Detection with Primal-Dual Hybrid Gradient for Large-Scale Linear Programming.
SIAM J. Optim.
David L. Applegate, Mateo Díaz, Haihao Lu, Miles Lubin
2024 J jnl
Shapes and recession cones in mixed-integer convex representability.
Math. Program.
Ilias Zadik, Miles Lubin, Juan Pablo Vielma
2023 J jnl
Faster first-order primal-dual methods for linear programming using restarts and sharpness.
Math. Program.
David L. Applegate, Oliver Hinder, Haihao Lu, Miles Lubin
2023 J jnl
JuMP 1.0: recent improvements to a modeling language for mathematical optimization.
Math. Program. Comput.
Miles Lubin, Oscar Dowson, Joaquim Dias Garcia, Joey Huchette, Benoît Legat, Juan Pablo Vielma
2022 J jnl
JuMP 1.0.
CoRR
Miles Lubin, Oscar Dowson, Joaquim Dias Garcia, Joey Huchette, Benoît Legat, Juan Pablo Vielma
2022 J jnl
MathOptInterface: A Data Structure for Mathematical Optimization Problems.
INFORMS J. Comput.
Benoît Legat, Oscar Dowson, Joaquim Dias Garcia, Miles Lubin
2022 J jnl
Mixed-Integer Convex Representability.
Math. Oper. Res.
Miles Lubin, Juan Pablo Vielma, Ilias Zadik
2022 J jnl
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.
CoRR
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 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
2021 A* conf
Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient.
NeurIPS
David L. Applegate, Mateo Díaz, Oliver Hinder, Haihao Lu, Miles Lubin, Brendan O'Donoghue, Warren Schudy
2021 A* conf
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls.
NeurIPS
Nick Doudchenko, Khashayar Khosravi, Jean Pouget-Abadie, Sébastien Lahaie, Miles Lubin, Vahab S. Mirrokni, Jann Spiess, Guido Imbens
2021 — conf
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.
NeurIPS (Competition and Demos)
Maxime Gasse, Simon Bowly, 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 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
2020 J jnl
Outer approximation with conic certificates for mixed-integer convex problems.
Math. Program. Comput.
Chris Coey, Miles Lubin, Juan Pablo Vielma
2020 A* conf
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs.
ICLR
Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals
2019 J jnl
REGAL: Transfer Learning For Fast Optimization of Computation Graphs.
CoRR
Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals
2018 J jnl
Chance Constraints for Improving the Security of AC Optimal Power Flow.
CoRR
Miles Lubin, Yury Dvorkin, Line Roald
2018 J jnl
On efficient Hessian computation using the edge pushing algorithm in Julia.
Optim. Methods Softw.
Cosmin G. Petra, Feng Qiang, Miles Lubin, Joey Huchette
2018 J jnl
Polyhedral approximation in mixed-integer convex optimization.
Math. Program.
Miles Lubin, Emre Yamangil, Russell Bent, Juan Pablo Vielma
2017 J jnl
Extended formulations in mixed integer conic quadratic programming.
Math. Program. Comput.
Juan Pablo Vielma, Iain Dunning, Joey Huchette, Miles Lubin
2017 J jnl
JuMP: A Modeling Language for Mathematical Optimization.
SIAM Rev.
Iain Dunning, Joey Huchette, Miles Lubin
2017 B conf
Mixed-Integer Convex Representability.
IPCO
Miles Lubin, Ilias Zadik, Juan Pablo Vielma
2017 J jnl
PowerModels.jl: An Open-Source Framework for Exploring Power Flow Formulations.
CoRR
Carleton Coffrin, Russell Bent, Kaarthik Sundar, Yeesian Ng, Miles Lubin
2016 B conf
Extended Formulations in Mixed-Integer Convex Programming.
IPCO
Miles Lubin, Emre Yamangil, Russell Bent, Juan Pablo Vielma
2016 J jnl
Forward-Mode Automatic Differentiation in Julia.
CoRR
Jarrett Revels, Miles Lubin, Theodore Papamarkou
2016 J jnl
Reformulation versus cutting-planes for robust optimization.
Comput. Manag. Sci.
Dimitris Bertsimas, Iain Dunning, Miles Lubin
2016 J jnl
Unit Commitment with N-1 Security and Wind Uncertainty.
CoRR
Kaarthik Sundar, Harsha Nagarajan, Miles Lubin, Line Roald, Sidhant Misra, Russell Bent, Daniel Bienstock
2016 — conf
Unit commitment with N-1 Security and wind uncertainty.
PSCC
Kaarthik Sundar, Harsha Nagarajan, Miles Lubin, Line Roald, Sidhant Misra, Russell Bent, Daniel Bienstock
2015 J jnl
A Course on Advanced Software Tools for Operations Research and Analytics.
INFORMS Trans. Educ.
Iain Dunning, Vishal Gupta, Angela King, Jerry Kung, Miles Lubin, John Silberholz
2015 J jnl
Computing in Operations Research Using Julia.
INFORMS J. Comput.
Miles Lubin, Iain Dunning
2015 J jnl
JuMP: A Modeling Language for Mathematical Optimization.
CoRR
Iain Dunning, Joey Huchette, Miles Lubin
2014 J jnl
An Augmented Incomplete Factorization Approach for Computing the Schur Complement in Stochastic Optimization.
SIAM J. Sci. Comput.
Cosmin G. Petra, Olaf Schenk, Miles Lubin, Klaus Gärtner
2014 — conf
Parallel algebraic modeling for stochastic optimization.
HPTCDL@SC
Joey Huchette, Miles Lubin, Cosmin G. Petra
2013 J jnl
Computing in Operations Research using Julia.
CoRR
Miles Lubin, Iain Dunning
2013 J jnl
On parallelizing dual decomposition in stochastic integer programming.
Oper. Res. Lett.
Miles Lubin, R. Kipp Martin, Cosmin G. Petra, Burhaneddin Sandikçi
2013 J jnl
Parallel distributed-memory simplex for large-scale stochastic LP problems.
Comput. Optim. Appl.
Miles Lubin, J. A. Julian Hall, Cosmin G. Petra, Mihai Anitescu
2012 J jnl
The parallel solution of dense saddle-point linear systems arising in stochastic programming.
Optim. Methods Softw.
Miles Lubin, Cosmin G. Petra, Mihai Anitescu
2011 A conf
Scalable stochastic optimization of complex energy systems.
SC
Miles Lubin, Cosmin G. Petra, Mihai Anitescu, Victor M. Zavala