← Authors

Mario Marchand

20 papers · 2002–2024 · 5 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (7) πŸ—ΊοΈ Taxonomy Completionist (10) πŸƒ Academic Marathon (22) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (5) 🀝 Dynamic Duo (10) πŸ† Keyword Champion πŸ”¬ Deep Specialist (10) πŸ”₯ Unstoppable (5) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (91) πŸ’Ž Century Club (20)

Conferences

NIPS (7) JMLR (5) AISTATS (4) ICML (3) ICLR (1)

Top co-authors

François Laviolette (10) Alexandre Lacasse (3) Gabriel Laberge (3) Foutse Khomh (3) Pascal Germain (3) Qi Chen (3) Alexandre Lacoste (2) Sébastien Giguère (2) John Shawe-Taylor (2) Changjian Shui (2)

Keywords

pac-bayes bound (4) risk bound (4) ensemble learning (4) model selection (3) generalization error (3) support vector machine (2) set covering machine (2) sample compression (2) learning theory (2) local explanation (2) generalization bound (2) classifier ensemble (2) gibbs classifier (2) bayesian inference (2) structured output prediction (2) decision tree (2) convex optimization (1) catastrophic forgetting (1) classification (1) continual learning (1)

Papers

Tackling the XAI Disagreement Problem with Regional Explanations AISTATS 2024
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set JMLR 2023
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm NIPS 2023
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation AISTATS 2023
Fooling SHAP with Stealthily Biased Sampling ICLR 2023
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis NIPS 2021
Decision trees as partitioning machines to characterize their generalization properties NIPS 2020
A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees AISTATS 2016
Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction ICML 2015
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks NIPS 2014
Agnostic Bayesian Learning of Ensembles ICML 2014
Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction ICML 2013
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets AISTATS 2012
From PAC-Bayes Bounds to KL Regularization NIPS 2009
Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data JMLR 2007
PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers JMLR 2007
A PAC-Bayes Risk Bound for General Loss Functions NIPS 2006
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier NIPS 2006
Learning with Decision Lists of Data-Dependent Features JMLR 2005
The Set Covering Machine JMLR 2002