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Generalization Guarantees

Scaling up ML-based Black-box Planning with Partial STRIPS Models
Scaling up ML-based Black-box Planning with Partial STRIPS Models
A popular approach for sequential decision-making is to perform simulator-based search guided with Machine Learning (ML) methods like …
Matias Greco, Alvaro Torralba, Jorge Baier, Hector Palacios
ICAPS'22 Workshop on Reliable Data-Driven Planning and Scheduling,  2022.
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In search of robust measures of generalization
In search of robust measures of generalization
One of the principal scientific challenges in deep learning is explaining generalization, i.e., why the particular way the community …
Gintare Karolina Dziugaite, Alexandre Drouin, Brayden (Brady) Neal, Nitarshan Rajkumar, Ethan Victor Caballero, Linbo Wang, Ioannis Mitliagkas, Daniel M. Roy
Conference on Neural Information Processing Systems (NeurIPS),  2020.
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Interpretable genotype-to-phenotype classifiers with performance guarantees
Interpretable genotype-to-phenotype classifiers with performance guarantees
Understanding the relationship between the genome of a cell and its phenotype is a central problem in precision medicine. Nonetheless, …
Alexandre Drouin, Gaël Letarte, Frédéric Raymond, Mario Marchand, Jacques Corbeil, François Laviolette
Nature Scientific Reports,  2018.
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