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Mathieu Besançon
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2020 – today
- 2024
- [j10]Mathieu Besançon, Joaquim Dias Garcia, Benoît Legat, Akshay Sharma:
Flexible Differentiable Optimization via Model Transformations. INFORMS J. Comput. 36(2): 456-478 (2024) - [j9]Suresh Bolusani, Mathieu Besançon, Ambros M. Gleixner, Timo Berthold, Claudia D'Ambrosio, Gonzalo Muñoz, Joseph Paat, Dimitri Thomopulos:
The MIP Workshop 2023 Computational Competition on reoptimization. Math. Program. Comput. 16(2): 255-266 (2024) - [j8]Gennesaret Tjusila, Mathieu Besançon, Mark Turner, Thorsten Koch:
How many clues to give? A bilevel formulation for the minimum Sudoku clue problem. Oper. Res. Lett. 54: 107105 (2024) - [j7]Alejandro Carderera, Mathieu Besançon, Sebastian Pokutta:
Scalable Frank-Wolfe on Generalized Self-Concordant Functions via Simple Steps. SIAM J. Optim. 34(3): 2231-2258 (2024) - [c5]Gioni Mexi, Somayeh Shamsi, Mathieu Besançon, Pierre Le Bodic:
Probabilistic Lookahead Strong Branching via a Stochastic Abstract Branching Model. CPAIOR (2) 2024: 56-73 - [c4]Deborah Hendrych, Mathieu Besançon, Sebastian Pokutta:
Solving the Optimal Experiment Design Problem with Mixed-Integer Convex Methods. SEA 2024: 16:1-16:22 - [i13]Suresh Bolusani, Gioni Mexi, Mathieu Besançon, Mark Turner:
A Multi-Reference Relaxation Enforced Neighborhood Search Heuristic in SCIP. CoRR abs/2408.00718 (2024) - 2023
- [j6]Ksenia Bestuzheva, Mathieu Besançon, Weikun Chen, Antonia Chmiela, Tim Donkiewicz, Jasper van Doornmalen, Leon Eifler, Oliver Gaul, Gerald Gamrath, Ambros M. Gleixner, Leona Gottwald, Christoph Graczyk, Katrin Halbig, Alexander Hoen, Christopher Hojny, Rolf van der Hulst, Thorsten Koch, Marco E. Lübbecke, Stephen J. Maher, Frederic Matter, Erik Mühmer, Benjamin Müller, Marc E. Pfetsch, Daniel Rehfeldt, Steffan Schlein, Franziska Schlösser, Felipe Serrano, Yuji Shinano, Boro Sofranac, Mark Turner, Stefan Vigerske, Fabian Wegscheider, Philipp Wellner, Dieter Weninger, Jakob Witzig:
Enabling Research through the SCIP Optimization Suite 8.0. ACM Trans. Math. Softw. 49(2): 22:1-22:21 (2023) - [c3]Mark Turner, Timo Berthold, Mathieu Besançon, Thorsten Koch:
Cutting Plane Selection with Analytic Centers and Multiregression. CPAIOR 2023: 52-68 - [i12]Gennesaret Tjusila, Mathieu Besançon, Mark Turner, Thorsten Koch:
How Many Clues To Give? A Bilevel Formulation For The Minimum Sudoku Clue Problem. CoRR abs/2305.01697 (2023) - [i11]Mark Turner, Timo Berthold, Mathieu Besançon, Thorsten Koch:
Branching via Cutting Plane Selection: Improving Hybrid Branching. CoRR abs/2306.06050 (2023) - [i10]Gioni Mexi, Mathieu Besançon, Suresh Bolusani, Antonia Chmiela, Alexander Hoen, Ambros M. Gleixner:
Scylla: a matrix-free fix-propagate-and-project heuristic for mixed-integer optimization. CoRR abs/2307.03466 (2023) - [i9]Mark Turner, Timo Berthold, Mathieu Besançon:
A Context-Aware Cutting Plane Selection Algorithm for Mixed-Integer Programming. CoRR abs/2307.07322 (2023) - 2022
- [j5]Mathieu Besançon, Alejandro Carderera, Sebastian Pokutta:
FrankWolfe.jl: A High-Performance and Flexible Toolbox for Frank-Wolfe Algorithms and Conditional Gradients. INFORMS J. Comput. 34(5): 2611-2620 (2022) - [c2]Jan MacDonald, Mathieu Besançon, Sebastian Pokutta:
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings. ICML 2022: 14699-14716 - [i8]Akshay Sharma, Mathieu Besançon, Joaquim Dias Garcia, Benoît Legat:
Flexible Differentiable Optimization via Model Transformations. CoRR abs/2206.06135 (2022) - [i7]Deborah Hendrych, Hannah Troppens, Mathieu Besançon, Sebastian Pokutta:
Convex integer optimization with Frank-Wolfe methods. CoRR abs/2208.11010 (2022) - [i6]Mark Turner, Timo Berthold, Mathieu Besançon, Thorsten Koch:
Cutting Plane Selection with Analytic Centers and Multiregression. CoRR abs/2212.07231 (2022) - 2021
- [j4]Mathieu Besançon, Theodore Papamarkou, David Anthoff, Alex Arslan, Simon Byrne, Dahua Lin, John Pearson:
Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem. J. Stat. Softw. 98(1) (2021) - [j3]Mathieu Besançon, Miguel F. Anjos, Luce Brotcorne:
Complexity of near-optimal robust versions of multilevel optimization problems. Optim. Lett. 15(8): 2597-2610 (2021) - [c1]Alejandro Carderera, Mathieu Besançon, Sebastian Pokutta:
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions. NeurIPS 2021: 5390-5401 - [i5]Alejandro Carderera, Mathieu Besançon, Sebastian Pokutta:
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions. CoRR abs/2105.13913 (2021) - [i4]Jan MacDonald, Mathieu Besançon, Sebastian Pokutta:
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings. CoRR abs/2110.08105 (2021) - 2020
- [j2]Mathieu Besançon, Miguel F. Anjos, Luce Brotcorne, Juan A. Gómez-Herrera:
A Bilevel Approach for Optimal Price-Setting of Time-and-Level-of-Use Tariffs. IEEE Trans. Smart Grid 11(6): 5462-5465 (2020) - [i3]Mathieu Besançon, Miguel F. Anjos, Luce Brotcorne:
Complexity of near-optimal robust versions of multilevel optimization problems. CoRR abs/2011.00824 (2020)
2010 – 2019
- 2019
- [j1]Mathieu Besançon:
A Julia package for bilevel optimization problems. J. Open Source Softw. 4(39): 1278 (2019) - [i2]Mathieu Besançon, David Anthoff, Alex Arslan, Simon Byrne, Dahua Lin, Theodore Papamarkou, John Pearson:
Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem. CoRR abs/1907.08611 (2019) - [i1]Mathieu Besançon, Miguel F. Anjos, Luce Brotcorne:
Near-optimal Robust Bilevel Optimization. CoRR abs/1908.04040 (2019)
Coauthor Index
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last updated on 2024-09-30 00:58 CEST by the dblp team
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