research
∙
10/15/2022
Fair Effect Attribution in Parallel Online Experiments
A/B tests serve the purpose of reliably identifying the effect of change...
share
research
∙
05/12/2022
Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling
The Plackett-Luce (PL) model is ubiquitous in learning-to-rank (LTR) bec...
research
∙
07/28/2021
Ranker-agnostic Contextual Position Bias Estimation
Learning-to-rank (LTR) algorithms are ubiquitous and necessary to explor...
research
∙
04/27/2020
Learning to Rank in the Position Based Model with Bandit Feedback
Personalization is a crucial aspect of many online experiences. In parti...
research
∙
08/02/2017
