Mario Marchand
Orcid: 0000-0002-7078-7393Affiliations:
- Université Laval
According to our database1,
Mario Marchand
authored at least 62 papers
between 1989 and 2024.
Collaborative distances:
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on dl.acm.org
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Bibliography
2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
J. Mach. Learn. Res., 2023
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
CoRR, 2022
2021
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Decision trees as partitioning machines to characterize their generalization properties.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
2017
Proceedings of the Domain Adaptation in Computer Vision Applications., 2017
2016
CoRR, 2016
A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
PLoS Comput. Biol., 2015
Risk bounds for the majority vote: from a PAC-Bayesian analysis to a learning algorithm.
J. Mach. Learn. Res., 2015
Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance.
CoRR, 2015
Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction.
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
CoRR, 2014
Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine.
CoRR, 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
BMC Bioinform., 2013
Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction.
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
2010
Learning the set covering machine by bound minimization and margin-sparsity trade-off.
Mach. Learn., 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
J. WSCG, 2008
Proceedings of the Advances in Artificial Intelligence , 2008
2007
PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers.
J. Mach. Learn. Res., 2007
Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data.
J. Mach. Learn. Res., 2007
2006
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the Machine Learning, 2005
Proceedings of the Machine Learning: ECML 2005, 2005
2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
2003
Proceedings of the Machine Learning, 2003
2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
2001
Learning with the Set Covering Machine.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
1996
1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
1994
Mach. Learn., 1994
Proceedings of the Advances in Neural Information Processing Systems 7, 1994
1993
Comput. Intell., 1993
On learning simple deterministic and probabilistic neural concepts.
Proceedings of the First European Conference on Computational Learning Theory, 1993
Average Case Analysis of the Clipped Hebb Rule for Nonoverlapping Perception Networks.
Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993
1992
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992
1989