160 citations · 274 across the 23 of their papers we have counts for
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Counterfactual Learning for Machine Translation: Degeneracies and Solutions
Carolin Lawrence, Pratik Gajane, Stefan Riezler
Counterfactual learning is a natural scenario to improve web-based machine translation services by offline learning from feedback logged during user interactions. In order to avoid…
On Formalizing Fairness in Prediction with Machine Learning
Pratik Gajane, Mykola Pechenizkiy
Machine learning algorithms for prediction are increasingly being used in critical decisions affecting human lives. Various fairness formalizations, with no firm consensus yet, are…
Corrupt Bandits for Preserving Local Privacy
Pratik Gajane, Tanguy Urvoy, Emilie Kaufmann
We study a variant of the stochastic multi-armed bandit (MAB) problem in which the rewards are corrupted. In this framework, motivated by privacy preservation in online recommender…