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08/05/2023
Group Membership Bias
When learning to rank from user interactions, search and recommendation ...
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05/04/2023
Recent Advances in the Foundations and Applications of Unbiased Learning to Rank
Since its inception, the field of unbiased learning to rank (ULTR) has r...
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05/01/2023
On the Impact of Outlier Bias on User Clicks
User interaction data is an important source of supervision in counterfa...
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04/25/2023
State Spaces Aren't Enough: Machine Translation Needs Attention
Structured State Spaces for Sequences (S4) is a recently proposed sequen...
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08/19/2022
Intersection of Parallels as an Early Stopping Criterion
A common way to avoid overfitting in supervised learning is early stoppi...
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04/28/2022
Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking
There are several measures for fairness in ranking, based on different u...
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09/13/2021
Cross-Market Product Recommendation
We study the problem of recommending relevant products to users in relat...
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08/19/2021
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank
In counterfactual learning to rank (CLTR) user interactions are used as ...
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08/24/2020
When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank
Besides position bias, which has been well-studied, trust bias is anothe...
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05/25/2020
