Mathieu Besançon

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 27

Top Topics

Integer Program

Column Generation

Totally Unimodular

Top Venues

INFORMS J. Comput.

Oper. Res. Lett.

Publications

Mathieu Besançon, Joaquim Dias Garcia, Benoît Legat, Akshay Sharma
Flexible Differentiable Optimization via Model Transformations. INFORMS J. Comput. 36 (2) (2024)
Deborah Hendrych, Mathieu Besançon, Sebastian Pokutta
Solving the Optimal Experiment Design Problem with Mixed-Integer Convex Methods. SEA (2024)
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 (2024)
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) (2024)
Gioni Mexi, Somayeh Shamsi, Mathieu Besançon, Pierre Le Bodic
Probabilistic Lookahead Strong Branching via a Stochastic Abstract Branching Model. CPAIOR (2) (2024)
Alejandro Carderera, Mathieu Besançon, Sebastian Pokutta
Scalable Frank-Wolfe on Generalized Self-Concordant Functions via Simple Steps. SIAM J. Optim. 34 (3) (2024)
Mark Turner, Timo Berthold, Mathieu Besançon, Thorsten Koch
Cutting Plane Selection with Analytic Centers and Multiregression. CPAIOR (2023)
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 (2023)
Mark Turner, Timo Berthold, Mathieu Besançon, Thorsten Koch
Branching via Cutting Plane Selection: Improving Hybrid Branching. CoRR (2023)
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) (2023)
Mark Turner, Timo Berthold, Mathieu Besançon
A Context-Aware Cutting Plane Selection Algorithm for Mixed-Integer Programming. CoRR (2023)
Gennesaret Tjusila, Mathieu Besançon, Mark Turner, Thorsten Koch
How Many Clues To Give? A Bilevel Formulation For The Minimum Sudoku Clue Problem. CoRR (2023)
Deborah Hendrych, Hannah Troppens, Mathieu Besançon, Sebastian Pokutta
Convex integer optimization with Frank-Wolfe methods. CoRR (2022)
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) (2022)
Akshay Sharma, Mathieu Besançon, Joaquim Dias Garcia, Benoît Legat
Flexible Differentiable Optimization via Model Transformations. CoRR (2022)
Jan MacDonald, Mathieu Besançon, Sebastian Pokutta
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings. ICML (2022)
Mark Turner, Timo Berthold, Mathieu Besançon, Thorsten Koch
Cutting Plane Selection with Analytic Centers and Multiregression. CoRR (2022)
Alejandro Carderera, Mathieu Besançon, Sebastian Pokutta
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions. CoRR (2021)
Alejandro Carderera, Mathieu Besançon, Sebastian Pokutta
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions. NeurIPS (2021)
Mathieu Besançon, Miguel F. Anjos, Luce Brotcorne
Complexity of near-optimal robust versions of multilevel optimization problems. Optim. Lett. 15 (8) (2021)
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)
Jan MacDonald, Mathieu Besançon, Sebastian Pokutta
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings. CoRR (2021)
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) (2020)
Mathieu Besançon, Miguel F. Anjos, Luce Brotcorne
Complexity of near-optimal robust versions of multilevel optimization problems. CoRR (2020)
Mathieu Besançon, Miguel F. Anjos, Luce Brotcorne
Near-optimal Robust Bilevel Optimization. CoRR (2019)
Mathieu Besançon
A Julia package for bilevel optimization problems. J. Open Source Softw. 4 (39) (2019)
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 (2019)