Adith Swaminathan and Tobias Schnabel visit ILPS

cornellAdith Swaminathan and Tobias Schnabel are visiting for one year. They are both PhD students at Cornell University working in the intersection of machine learning and information access. Adith’s main focus is on batch learning from bandit feedback using counterfactual risk estimators, developing the learning algorithms and the underlying theory for principled learning from logged interaction data. Tobias works on principled methods for evaluation, including the evaluation of embedding methods for text and the use of propensity scoring for reducing bias in recommender-system evaluation due to self-selection effects.