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cs.LG2025
On the Computability of Multiclass PAC Learning
Pascale Gourdeau, Tosca Lechner, Ruth Urner
We study the problem of computable multiclass learnability within the Probably Approximately Correct (PAC) learning framework of Valiant (1984). In the recently introduced computab…
cs.LG2022
Learning Losses for Strategic Classification
Tosca Lechner, Ruth Urner
Strategic classification, i.e. classification under possible strategic manipulations of features, has received a lot of attention from both the machine learning and the game theory…
cs.LG2021★ 5 cited
Impossibility results for fair representations
Tosca Lechner, Shai Ben-David, Sushant Agarwal +1
With the growing awareness to fairness in machine learning and the realization of the central role that data representation has in data processing tasks, there is an obvious intere…