17 citations · 22 across the 2 of their papers we have counts for
2 papers
cs.IR2023★ 5 cited
Recent Advances in the Foundations and Applications of Unbiased Learning to Rank
Shashank Gupta, Philipp Hager, Jin Huang +2
Since its inception, the field of unbiased learning to rank (ULTR) has remained very active and has seen several impactful advancements in recent years. This tutorial provides both…
cs.IR2023★ 17 cited
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization
Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
Counterfactual learning to rank (CLTR) relies on exposure-based inverse propensity scoring (IPS), a LTR-specific adaptation of IPS to correct for position bias. While IPS can provi…