YoVDO

Algorithmic Bias Courses

Fair Recommendations with Limited Sensitive Attributes - A Distributionally Robust Optimization Approach
Association for Computing Machinery (ACM) via YouTube
Adaptive Fair Representation Learning for Personalized Fairness in Recommendations - Lecture 7
Association for Computing Machinery (ACM) via YouTube
CaDRec: Contextualized and Debiased Recommender Model - Fairness in RecSys
Association for Computing Machinery (ACM) via YouTube
Fair Sequential Recommendation without User Demographics - SIGIR 2024
Association for Computing Machinery (ACM) via YouTube
Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance - Evaluation M1.5
Association for Computing Machinery (ACM) via YouTube
Taking Aim at Bias in AI - Workshop Sessions
MLOps World: Machine Learning in Production via YouTube
MLOps for Fairness - Creating Comprehensive Fairness Workflows
MLOps World: Machine Learning in Production via YouTube
A Taxation Perspective for Fair Re-ranking - SIGIR 2024
Association for Computing Machinery (ACM) via YouTube
Counterfactual Ranking Evaluation with Flexible Click Models - Lecture 3
Association for Computing Machinery (ACM) via YouTube
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