13 citations
- ENSAE ParisFR3 papers
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- Groupement de Recherche et d'Études en Gestion d’HECFR1 paper
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stat.ML2014★ 13 cited
PAC-Bayesian AUC classification and scoring
James Ridgway, Pierre Alquier, Nicolas Chopin +1
We develop a scoring and classification procedure based on the PAC-Bayesian approach and the AUC (Area Under Curve) criterion. We focus initially on the class of linear score funct…
stat.ML2012
Bayesian learning of noisy Markov decision processes
Sumeetpal S. Singh, Nicolas Chopin, Nick Whiteley
We consider the inverse reinforcement learning problem, that is, the problem of learning from, and then predicting or mimicking a controller based on state/action data. We propose…