Valda — Valeur à partir des données

Séminaire Valda : Debabrota Basu
Debabrota Basu, Inria Lille. 11 mars 2022, 10:30-11:30. ENS S16. Verifying and Explaining Unfairness of Machine Learning Algorithms In recent years, machine learning (ML) algorithms have been deployed in safety-critical and high-stake decision-making, where the fairness or unbiasedness of algorithms bears significant importance. Fairness in ML centres on detecting bias…
Séminaire Valda : Mikaël Monet
Mikaël Monet, Inria Lille. 25 février 2022, 10:30-11:30. ENS, S16. Shapley Values for Relational Databases and Machine Learning The Shapley value is a game-theoretic function that can be used to distribute the wealth of a team in a cooperative game. This function has strong theoretical justifications has been applied across…
Séminaire Valda : Davide Benedetto et Shrey Mishra
12 mars 2021, 10:30-11:30 Séminaire en ligne : https://bbb.di.ens.fr/b/cam-pz6-kdj Traversal algorithms and heuristics for reasoning over logic based knowledge graphs (Davide Benedetto) Knowledge Graphs (KGs) provide a concise and intuitive abstraction for a variety of domains where edges capture the (potentially recursive) relationships between the entities. This is leading to…
Séminaire Valda: Liat Peterfreund et Yann Ramusat
5 mars 2021, 10:30-11:30 Séminaire en ligne : https://bbb.di.ens.fr/b/cam-pz6-kdj Grammars for Document Spanners (Liat Peterfreund) We propose a new grammar-based language for defining information-extractors from documents (text) that is built upon the well-studied framework of Document Spanners for extracting structured data from text. While previously studied formalisms for document spanners…