BibTeX records: Maxime Gasse

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@article{DBLP:journals/corr/abs-2402-09359,
  author       = {Brice Rauby and
                  Paul Xing and
                  Jonathan Por{\'{e}}e and
                  Maxime Gasse and
                  Jean Provost},
  title        = {Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D
                  Ultrasound Localization Microscopy},
  journal      = {CoRR},
  volume       = {abs/2402.09359},
  year         = {2024},
  url          = {https://doi.org/10.48550/arXiv.2402.09359},
  doi          = {10.48550/ARXIV.2402.09359},
  eprinttype    = {arXiv},
  eprint       = {2402.09359},
  timestamp    = {Fri, 16 Feb 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2402-09359.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2310-08143,
  author       = {L{\'{e}}o Milecki and
                  Jonathan Por{\'{e}}e and
                  Hatim Belgharbi and
                  Chlo{\'{e}} Bourquin and
                  Rafat Damseh and
                  Patrick Delafontaine{-}Martel and
                  Fr{\'{e}}d{\'{e}}ric Lesage and
                  Maxime Gasse and
                  Jean Provost},
  title        = {A Deep Learning Framework for Spatiotemporal Ultrasound Localization
                  Microscopy},
  journal      = {CoRR},
  volume       = {abs/2310.08143},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2310.08143},
  doi          = {10.48550/ARXIV.2310.08143},
  eprinttype    = {arXiv},
  eprint       = {2310.08143},
  timestamp    = {Tue, 24 Oct 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2310-08143.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/mp/MullerMGGLS22,
  author       = {Benjamin M{\"{u}}ller and
                  Gonzalo Mu{\~{n}}oz and
                  Maxime Gasse and
                  Ambros M. Gleixner and
                  Andrea Lodi and
                  Felipe Serrano},
  title        = {On generalized surrogate duality in mixed-integer nonlinear programming},
  journal      = {Math. Program.},
  volume       = {192},
  number       = {1},
  pages        = {89--118},
  year         = {2022},
  url          = {https://doi.org/10.1007/s10107-021-01691-6},
  doi          = {10.1007/S10107-021-01691-6},
  timestamp    = {Mon, 26 Jun 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/mp/MullerMGGLS22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tmlr/GuptaKCGLBK22,
  author       = {Prateek Gupta and
                  Elias Boutros Khalil and
                  Didier Ch{\'{e}}telat and
                  Maxime Gasse and
                  Andrea Lodi and
                  Yoshua Bengio and
                  M. Pawan Kumar},
  title        = {Lookback for Learning to Branch},
  journal      = {Trans. Mach. Learn. Res.},
  volume       = {2022},
  year         = {2022},
  url          = {https://openreview.net/forum?id=EQpGkw5rvL},
  timestamp    = {Fri, 19 May 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/tmlr/GuptaKCGLBK22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/ScavuzzoCCG0YA22,
  author       = {Lara Scavuzzo and
                  Feng Yang Chen and
                  Didier Ch{\'{e}}telat and
                  Maxime Gasse and
                  Andrea Lodi and
                  Neil Yorke{-}Smith and
                  Karen I. Aardal},
  editor       = {Sanmi Koyejo and
                  S. Mohamed and
                  A. Agarwal and
                  Danielle Belgrave and
                  K. Cho and
                  A. Oh},
  title        = {Learning to Branch with Tree MDPs},
  booktitle    = {Advances in Neural Information Processing Systems 35: Annual Conference
                  on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans,
                  LA, USA, November 28 - December 9, 2022},
  year         = {2022},
  url          = {http://papers.nips.cc/paper\_files/paper/2022/hash/756d74cd58592849c904421e3b2ec7a4-Abstract-Conference.html},
  timestamp    = {Mon, 08 Jan 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/nips/ScavuzzoCCG0YA22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2203-02433,
  author       = {Maxime Gasse and
                  Quentin Cappart and
                  Jonas Charfreitag and
                  Laurent Charlin and
                  Didier Ch{\'{e}}telat and
                  Antonia Chmiela and
                  Justin Dumouchelle and
                  Ambros M. Gleixner and
                  Aleksandr M. Kazachkov and
                  Elias B. Khalil and
                  Pawel Lichocki and
                  Andrea Lodi and
                  Miles Lubin and
                  Chris J. Maddison and
                  Christopher Morris and
                  Dimitri J. Papageorgiou and
                  Augustin Parjadis and
                  Sebastian Pokutta and
                  Antoine Prouvost and
                  Lara Scavuzzo and
                  Giulia Zarpellon and
                  Linxin Yang and
                  Sha Lai and
                  Akang Wang and
                  Xiaodong Luo and
                  Xiang Zhou and
                  Haohan Huang and
                  Sheng Cheng Shao and
                  Yuanming Zhu and
                  Dong Zhang and
                  Tao Quan and
                  Zixuan Cao and
                  Yang Xu and
                  Zhewei Huang and
                  Shuchang Zhou and
                  Binbin Chen and
                  Minggui He and
                  Hao Hao and
                  Zhiyu Zhang and
                  Zhiwu An and
                  Kun Mao},
  title        = {The Machine Learning for Combinatorial Optimization Competition {(ML4CO):}
                  Results and Insights},
  journal      = {CoRR},
  volume       = {abs/2203.02433},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2203.02433},
  doi          = {10.48550/ARXIV.2203.02433},
  eprinttype    = {arXiv},
  eprint       = {2203.02433},
  timestamp    = {Mon, 13 Feb 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2203-02433.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2205-11107,
  author       = {Lara Scavuzzo and
                  Feng Yang Chen and
                  Didier Ch{\'{e}}telat and
                  Maxime Gasse and
                  Andrea Lodi and
                  Neil Yorke{-}Smith and
                  Karen I. Aardal},
  title        = {Learning to branch with Tree MDPs},
  journal      = {CoRR},
  volume       = {abs/2205.11107},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2205.11107},
  doi          = {10.48550/ARXIV.2205.11107},
  eprinttype    = {arXiv},
  eprint       = {2205.11107},
  timestamp    = {Tue, 25 Jul 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2205-11107.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2206-14987,
  author       = {Prateek Gupta and
                  Elias B. Khalil and
                  Didier Ch{\'{e}}telat and
                  Maxime Gasse and
                  Yoshua Bengio and
                  Andrea Lodi and
                  M. Pawan Kumar},
  title        = {Lookback for Learning to Branch},
  journal      = {CoRR},
  volume       = {abs/2206.14987},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2206.14987},
  doi          = {10.48550/ARXIV.2206.14987},
  eprinttype    = {arXiv},
  eprint       = {2206.14987},
  timestamp    = {Mon, 04 Jul 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2206-14987.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tmi/MileckiPBBDDLGP21,
  author       = {L{\'{e}}o Milecki and
                  Jonathan Por{\'{e}}e and
                  Hatim Belgharbi and
                  Chlo{\'{e}} Bourquin and
                  Rafat Damseh and
                  Patrick Delafontaine{-}Martel and
                  Fr{\'{e}}d{\'{e}}ric Lesage and
                  Maxime Gasse and
                  Jean Provost},
  title        = {A Deep Learning Framework for Spatiotemporal Ultrasound Localization
                  Microscopy},
  journal      = {{IEEE} Trans. Medical Imaging},
  volume       = {40},
  number       = {5},
  pages        = {1428--1437},
  year         = {2021},
  url          = {https://doi.org/10.1109/TMI.2021.3056951},
  doi          = {10.1109/TMI.2021.3056951},
  timestamp    = {Thu, 23 Jun 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/tmi/MileckiPBBDDLGP21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/GasseBCCCCCDGKK21,
  author       = {Maxime Gasse and
                  Simon Bowly and
                  Quentin Cappart and
                  Jonas Charfreitag and
                  Laurent Charlin and
                  Didier Ch{\'{e}}telat and
                  Antonia Chmiela and
                  Justin Dumouchelle and
                  Ambros M. Gleixner and
                  Aleksandr M. Kazachkov and
                  Elias B. Khalil and
                  Pawel Lichocki and
                  Andrea Lodi and
                  Miles Lubin and
                  Chris J. Maddison and
                  Christopher Morris and
                  Dimitri J. Papageorgiou and
                  Augustin Parjadis and
                  Sebastian Pokutta and
                  Antoine Prouvost and
                  Lara Scavuzzo and
                  Giulia Zarpellon and
                  Linxin Yang and
                  Sha Lai and
                  Akang Wang and
                  Xiaodong Luo and
                  Xiang Zhou and
                  Haohan Huang and
                  Sheng Cheng Shao and
                  Yuanming Zhu and
                  Dong Zhang and
                  Tao Quan and
                  Zixuan Cao and
                  Yang Xu and
                  Zhewei Huang and
                  Shuchang Zhou and
                  Binbin Chen and
                  Minggui He and
                  Hao Hao and
                  Zhiyu Zhang and
                  Zhiwu An and
                  Kun Mao},
  editor       = {Douwe Kiela and
                  Marco Ciccone and
                  Barbara Caputo},
  title        = {The Machine Learning for Combinatorial Optimization Competition {(ML4CO):}
                  Results and Insights},
  booktitle    = {NeurIPS 2021 Competitions and Demonstrations Track, 6-14 December
                  2021, Online},
  series       = {Proceedings of Machine Learning Research},
  volume       = {176},
  pages        = {220--231},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v176/gasse22a.html},
  timestamp    = {Mon, 13 Feb 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/nips/GasseBCCCCCDGKK21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2104-02828,
  author       = {Antoine Prouvost and
                  Justin Dumouchelle and
                  Maxime Gasse and
                  Didier Ch{\'{e}}telat and
                  Andrea Lodi},
  title        = {Ecole: {A} Library for Learning Inside {MILP} Solvers},
  journal      = {CoRR},
  volume       = {abs/2104.02828},
  year         = {2021},
  url          = {https://arxiv.org/abs/2104.02828},
  eprinttype    = {arXiv},
  eprint       = {2104.02828},
  timestamp    = {Tue, 13 Apr 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2104-02828.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2106-14421,
  author       = {Maxime Gasse and
                  Damien Grasset and
                  Guillaume Gaudron and
                  Pierre{-}Yves Oudeyer},
  title        = {Causal Reinforcement Learning using Observational and Interventional
                  Data},
  journal      = {CoRR},
  volume       = {abs/2106.14421},
  year         = {2021},
  url          = {https://arxiv.org/abs/2106.14421},
  eprinttype    = {arXiv},
  eprint       = {2106.14421},
  timestamp    = {Wed, 30 Jun 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2106-14421.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ipco/MullerMGG0S20,
  author       = {Benjamin M{\"{u}}ller and
                  Gonzalo Mu{\~{n}}oz and
                  Maxime Gasse and
                  Ambros M. Gleixner and
                  Andrea Lodi and
                  Felipe Serrano},
  editor       = {Daniel Bienstock and
                  Giacomo Zambelli},
  title        = {On Generalized Surrogate Duality in Mixed-Integer Nonlinear Programming},
  booktitle    = {Integer Programming and Combinatorial Optimization - 21st International
                  Conference, {IPCO} 2020, London, UK, June 8-10, 2020, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {12125},
  pages        = {322--337},
  publisher    = {Springer},
  year         = {2020},
  url          = {https://doi.org/10.1007/978-3-030-45771-6\_25},
  doi          = {10.1007/978-3-030-45771-6\_25},
  timestamp    = {Tue, 16 Jun 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/ipco/MullerMGG0S20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/mlsp/SubakanGC20,
  author       = {Y. Cem S{\"{u}}bakan and
                  Maxime Gasse and
                  Laurent Charlin},
  title        = {On the Effectiveness of Two-Step Learning for Latent-Variable Models},
  booktitle    = {30th {IEEE} International Workshop on Machine Learning for Signal
                  Processing, {MLSP} 2020, Espoo, Finland, September 21-24, 2020},
  pages        = {1--6},
  publisher    = {{IEEE}},
  year         = {2020},
  url          = {https://doi.org/10.1109/MLSP49062.2020.9231729},
  doi          = {10.1109/MLSP49062.2020.9231729},
  timestamp    = {Mon, 26 Oct 2020 17:35:16 +0100},
  biburl       = {https://dblp.org/rec/conf/mlsp/SubakanGC20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/GuptaGKM0B20,
  author       = {Prateek Gupta and
                  Maxime Gasse and
                  Elias B. Khalil and
                  Pawan Kumar Mudigonda and
                  Andrea Lodi and
                  Yoshua Bengio},
  editor       = {Hugo Larochelle and
                  Marc'Aurelio Ranzato and
                  Raia Hadsell and
                  Maria{-}Florina Balcan and
                  Hsuan{-}Tien Lin},
  title        = {Hybrid Models for Learning to Branch},
  booktitle    = {Advances in Neural Information Processing Systems 33: Annual Conference
                  on Neural Information Processing Systems 2020, NeurIPS 2020, December
                  6-12, 2020, virtual},
  year         = {2020},
  url          = {https://proceedings.neurips.cc/paper/2020/hash/d1e946f4e67db4b362ad23818a6fb78a-Abstract.html},
  timestamp    = {Thu, 14 Oct 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/GuptaGKM0B20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-15212,
  author       = {Prateek Gupta and
                  Maxime Gasse and
                  Elias B. Khalil and
                  M. Pawan Kumar and
                  Andrea Lodi and
                  Yoshua Bengio},
  title        = {Hybrid Models for Learning to Branch},
  journal      = {CoRR},
  volume       = {abs/2006.15212},
  year         = {2020},
  url          = {https://arxiv.org/abs/2006.15212},
  eprinttype    = {arXiv},
  eprint       = {2006.15212},
  timestamp    = {Wed, 01 Jul 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2006-15212.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2011-06069,
  author       = {Antoine Prouvost and
                  Justin Dumouchelle and
                  Lara Scavuzzo and
                  Maxime Gasse and
                  Didier Ch{\'{e}}telat and
                  Andrea Lodi},
  title        = {Ecole: {A} Gym-like Library for Machine Learning in Combinatorial
                  Optimization Solvers},
  journal      = {CoRR},
  volume       = {abs/2011.06069},
  year         = {2020},
  url          = {https://arxiv.org/abs/2011.06069},
  eprinttype    = {arXiv},
  eprint       = {2011.06069},
  timestamp    = {Wed, 18 Nov 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2011-06069.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/GasseCFC019,
  author       = {Maxime Gasse and
                  Didier Ch{\'{e}}telat and
                  Nicola Ferroni and
                  Laurent Charlin and
                  Andrea Lodi},
  editor       = {Hanna M. Wallach and
                  Hugo Larochelle and
                  Alina Beygelzimer and
                  Florence d'Alch{\'{e}}{-}Buc and
                  Emily B. Fox and
                  Roman Garnett},
  title        = {Exact Combinatorial Optimization with Graph Convolutional Neural Networks},
  booktitle    = {Advances in Neural Information Processing Systems 32: Annual Conference
                  on Neural Information Processing Systems 2019, NeurIPS 2019, December
                  8-14, 2019, Vancouver, BC, Canada},
  pages        = {15554--15566},
  year         = {2019},
  url          = {https://proceedings.neurips.cc/paper/2019/hash/d14c2267d848abeb81fd590f371d39bd-Abstract.html},
  timestamp    = {Mon, 16 May 2022 15:41:51 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/GasseCFC019.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1906-01629,
  author       = {Maxime Gasse and
                  Didier Ch{\'{e}}telat and
                  Nicola Ferroni and
                  Laurent Charlin and
                  Andrea Lodi},
  title        = {Exact Combinatorial Optimization with Graph Convolutional Neural Networks},
  journal      = {CoRR},
  volume       = {abs/1906.01629},
  year         = {2019},
  url          = {http://arxiv.org/abs/1906.01629},
  eprinttype    = {arXiv},
  eprint       = {1906.01629},
  timestamp    = {Mon, 17 Jun 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1906-01629.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/inns/LecoeucheAG18,
  author       = {Denis Lecoeuche and
                  Alex Aussem and
                  Maxime Gasse},
  editor       = {Seiichi Ozawa and
                  Ah{-}Hwee Tan and
                  Plamen P. Angelov and
                  Asim Roy and
                  Mahardhika Pratama},
  title        = {On the use of binary stochastic autoencoders for multi-label classification
                  under the zero-one loss},
  booktitle    = {{INNS} Conference on Big Data and Deep Learning 2018, Sanur, Bali,
                  Indonesia, 17-19 April 2018},
  series       = {Procedia Computer Science},
  volume       = {144},
  pages        = {71--80},
  publisher    = {Elsevier},
  year         = {2018},
  url          = {https://doi.org/10.1016/j.procs.2018.10.506},
  doi          = {10.1016/J.PROCS.2018.10.506},
  timestamp    = {Tue, 22 Jan 2019 10:09:09 +0100},
  biburl       = {https://dblp.org/rec/conf/inns/LecoeucheAG18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@phdthesis{DBLP:phd/hal/Gasse17,
  author       = {Maxime Gasse},
  title        = {Probabilistic Graphical Model Structure Learning: Application to Multi-Label
                  Classification. (Apprentissage de Structure de Mod{\`{e}}les Graphiques
                  Probabilistes: Application {\`{a}} la Classification Multi-Label)},
  school       = {Claude Bernard University Lyon 1},
  year         = {2017},
  url          = {https://tel.archives-ouvertes.fr/tel-01442613},
  timestamp    = {Tue, 21 Jul 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/phd/hal/Gasse17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/pgm/GasseA16,
  author       = {Maxime Gasse and
                  Alex Aussem},
  editor       = {Alessandro Antonucci and
                  Giorgio Corani and
                  Cassio Polpo de Campos},
  title        = {Identifying the irreducible disjoint factors of a multivariate probability
                  distribution},
  booktitle    = {Probabilistic Graphical Models - Eighth International Conference,
                  {PGM} 2016, Lugano, Switzerland, September 6-9, 2016. Proceedings},
  series       = {{JMLR} Workshop and Conference Proceedings},
  volume       = {52},
  pages        = {183--194},
  publisher    = {JMLR.org},
  year         = {2016},
  url          = {http://proceedings.mlr.press/v52/gasse16.html},
  timestamp    = {Tue, 19 Jan 2021 13:09:20 +0100},
  biburl       = {https://dblp.org/rec/conf/pgm/GasseA16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/pkdd/GasseA16,
  author       = {Maxime Gasse and
                  Alex Aussem},
  editor       = {Paolo Frasconi and
                  Niels Landwehr and
                  Giuseppe Manco and
                  Jilles Vreeken},
  title        = {F-Measure Maximization in Multi-Label Classification with Conditionally
                  Independent Label Subsets},
  booktitle    = {Machine Learning and Knowledge Discovery in Databases - European Conference,
                  {ECML} {PKDD} 2016, Riva del Garda, Italy, September 19-23, 2016,
                  Proceedings, Part {I}},
  series       = {Lecture Notes in Computer Science},
  volume       = {9851},
  pages        = {619--631},
  publisher    = {Springer},
  year         = {2016},
  url          = {https://doi.org/10.1007/978-3-319-46128-1\_39},
  doi          = {10.1007/978-3-319-46128-1\_39},
  timestamp    = {Thu, 05 Dec 2019 17:07:16 +0100},
  biburl       = {https://dblp.org/rec/conf/pkdd/GasseA16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/GasseA16,
  author       = {Maxime Gasse and
                  Alex Aussem},
  title        = {F-measure Maximization in Multi-Label Classification with Conditionally
                  Independent Label Subsets},
  journal      = {CoRR},
  volume       = {abs/1604.07759},
  year         = {2016},
  url          = {http://arxiv.org/abs/1604.07759},
  eprinttype    = {arXiv},
  eprint       = {1604.07759},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/GasseA16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GasseAE15,
  author       = {Maxime Gasse and
                  Alexandre Aussem and
                  Haytham Elghazel},
  editor       = {Francis R. Bach and
                  David M. Blei},
  title        = {On the Optimality of Multi-Label Classification under Subset Zero-One
                  Loss for Distributions Satisfying the Composition Property},
  booktitle    = {Proceedings of the 32nd International Conference on Machine Learning,
                  {ICML} 2015, Lille, France, 6-11 July 2015},
  series       = {{JMLR} Workshop and Conference Proceedings},
  volume       = {37},
  pages        = {2531--2539},
  publisher    = {JMLR.org},
  year         = {2015},
  url          = {http://proceedings.mlr.press/v37/gasse15.html},
  timestamp    = {Wed, 29 May 2019 08:41:45 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/GasseAE15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/GasseAE15,
  author       = {Maxime Gasse and
                  Alex Aussem and
                  Haytham Elghazel},
  title        = {An Experimental Comparison of Hybrid Algorithms for Bayesian Network
                  Structure Learning},
  journal      = {CoRR},
  volume       = {abs/1505.05004},
  year         = {2015},
  url          = {http://arxiv.org/abs/1505.05004},
  eprinttype    = {arXiv},
  eprint       = {1505.05004},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/GasseAE15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/GasseAE15a,
  author       = {Maxime Gasse and
                  Alex Aussem and
                  Haytham Elghazel},
  title        = {A hybrid algorithm for Bayesian network structure learning with application
                  to multi-label learning},
  journal      = {CoRR},
  volume       = {abs/1506.05692},
  year         = {2015},
  url          = {http://arxiv.org/abs/1506.05692},
  eprinttype    = {arXiv},
  eprint       = {1506.05692},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/GasseAE15a.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/eswa/GasseAE14,
  author       = {Maxime Gasse and
                  Alex Aussem and
                  Haytham Elghazel},
  title        = {A hybrid algorithm for Bayesian network structure learning with application
                  to multi-label learning},
  journal      = {Expert Syst. Appl.},
  volume       = {41},
  number       = {15},
  pages        = {6755--6772},
  year         = {2014},
  url          = {https://doi.org/10.1016/j.eswa.2014.04.032},
  doi          = {10.1016/J.ESWA.2014.04.032},
  timestamp    = {Fri, 26 May 2017 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/eswa/GasseAE14.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iwbbio/AussemCKGSD14,
  author       = {Alex Aussem and
                  Pascal Caillet and
                  Zara Klemm and
                  Maxime Gasse and
                  Anne{-}Marie Schott and
                  Michel Ducher},
  editor       = {Ignacio Rojas and
                  Francisco M. Ortu{\~{n}}o Guzman},
  title        = {Analysis of risk factors of hip fracture with causal Bayesian networks},
  booktitle    = {International Work-Conference on Bioinformatics and Biomedical Engineering,
                  {IWBBIO} 2014, Granada, Spain, April 7-9, 2014},
  pages        = {1074--1085},
  publisher    = {Copicentro Editorial},
  year         = {2014},
  url          = {http://iwbbio.ugr.es/2014/papers/IWBBIO\_2014\_paper\_114.pdf},
  timestamp    = {Thu, 12 Mar 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/iwbbio/AussemCKGSD14.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/pkdd/GasseAE12,
  author       = {Maxime Gasse and
                  Alex Aussem and
                  Haytham Elghazel},
  editor       = {Peter A. Flach and
                  Tijl De Bie and
                  Nello Cristianini},
  title        = {An Experimental Comparison of Hybrid Algorithms for Bayesian Network
                  Structure Learning},
  booktitle    = {Machine Learning and Knowledge Discovery in Databases - European Conference,
                  {ECML} {PKDD} 2012, Bristol, UK, September 24-28, 2012. Proceedings,
                  Part {I}},
  series       = {Lecture Notes in Computer Science},
  volume       = {7523},
  pages        = {58--73},
  publisher    = {Springer},
  year         = {2012},
  url          = {https://doi.org/10.1007/978-3-642-33460-3\_9},
  doi          = {10.1007/978-3-642-33460-3\_9},
  timestamp    = {Tue, 14 May 2019 10:00:47 +0200},
  biburl       = {https://dblp.org/rec/conf/pkdd/GasseAE12.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
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