| 2024 | AISTATS | Tackling the XAI Disagreement Problem with Regional Explanations. | Gabriel Laberge, Yann Batiste Pequignot, Mario Marchand, Foutse Khomh |
| 2023 | AISTATS | Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation. | Qi Chen, Mario Marchand |
| 2023 | ICLR | Fooling SHAP with Stealthily Biased Sampling. | Gabriel Laberge, Ulrich Avodji, Satoshi Hara, Mario Marchand, Foutse Khomh |
| 2016 | AISTATS | A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees. | Jean-Francis Roy, Mario Marchand, Franois Laviolette |
| 2015 | ICML | Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction. | Sbastien Gigure, Amlie Rolland, Franois Laviolette, Mario Marchand |
| 2014 | ICML | Agnostic Bayesian Learning of Ensembles. | Alexandre Lacoste, Mario Marchand, Franois Laviolette, Hugo Larochelle |
| 2014 | UAI | Sequential Model-Based Ensemble Optimization. | Alexandre Lacoste, Hugo Larochelle, Mario Marchand, Franois Laviolette |
| 2013 | ICML | Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction. | Sbastien Gigure, Franois Laviolette, Mario Marchand, Khadidja Sylla |
| 2011 | ICML | A PAC-Bayes Sample-compression Approach to Kernel Methods. | Pascal Germain, Alexandre Lacoste, Franois Laviolette, Mario Marchand, Sara Shanian |
| 2011 | ICML | From PAC-Bayes Bounds to Quadratic Programs for Majority Votes. | Jean-Francis Roy, Franois Laviolette, Mario Marchand |
| 2009 | ICML | PAC-Bayesian learning of linear classifiers. | Pascal Germain, Alexandre Lacasse, Franois Laviolette, Mario Marchand |
| 2008 | AI | Selective Sampling for Classification. | Franois Laviolette, Mario Marchand, Sara Shanian |
| 2005 | ICML | PAC-Bayes risk bounds for sample-compressed Gibbs classifiers. | Franois Laviolette, Mario Marchand |
| 2003 | ICML | The Set Covering Machine with Data-Dependent Half-Spaces. | Mario Marchand, Mohak Shah, John Shawe-Taylor, Marina Sokolova |
| 2001 | ICML | Learning with the Set Covering Machine. | Mario Marchand, John Shawe-Taylor |
| 1993 | COLT | Average Case Analysis of the Clipped Hebb Rule for Nonoverlapping Perception Networks. | Mostefa Golea, Mario Marchand |