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10/15/2022
Fair Effect Attribution in Parallel Online Experiments
A/B tests serve the purpose of reliably identifying the effect of change...
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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...
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07/28/2021
Ranker-agnostic Contextual Position Bias Estimation
Learning-to-rank (LTR) algorithms are ubiquitous and necessary to explor...
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04/28/2020
A Linear Bandit for Seasonal Environments
Contextual bandit algorithms are extremely popular and widely used in re...
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07/17/2018
Knowledge-aware Autoencoders for Explainable Recommender Sytems
Recommender Systems have been widely used to help users in finding what ...
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07/13/2018
