601 citations · 2.1k across the 56 of their papers we have counts for
3 papers · 2 filters
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed
Damien Lefortier, Adith Swaminathan, Xiaotao Gu +2
The ability to perform effective off-policy learning would revolutionize the process of building better interactive systems, such as search engines and recommendation systems for e…
Latent Skill Embedding for Personalized Lesson Sequence Recommendation
Siddharth Reddy, Igor Labutov, Thorsten Joachims
Students in online courses generate large amounts of data that can be used to personalize the learning process and improve quality of education. In this paper, we present the Laten…
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh +2
Most data for evaluating and training recommender systems is subject to selection biases, either through self-selection by the users or through the actions of the recommendation sy…