3 papers
cs.LG2022
Learning from aggregated data with a maximum entropy model
Alexandre Gilotte, Ahmed Ben Yahmed, David Rohde
Aggregating a dataset, then injecting some noise, is a simple and common way to release differentially private data.However, aggregated data -- even without noise -- is not an appr…
cs.IR2019
Learning from Bandit Feedback: An Overview of the State-of-the-art
Olivier Jeunen, Dmytro Mykhaylov, David Rohde +3
In machine learning we often try to optimise a decision rule that would have worked well over a historical dataset; this is the so called empirical risk minimisation principle. In…
stat.ML2019
Ranking metrics on non-shuffled traffic
Alexandre Gilotte
Ranking metrics are a family of metrics largely used to evaluate recommender systems. However they typically suffer from the fact the reward is affected by the order in which recom…