6 citations · 34 across the 18 of their papers we have counts for
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stat.ML2017★ 6 cited
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…
stat.ML2017
Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation
Carolin Lawrence, Artem Sokolov, Stefan Riezler
The goal of counterfactual learning for statistical machine translation (SMT) is to optimize a target SMT system from logged data that consist of user feedback to translations that…