Tomo Lazovich
Orcid: 0000-0001-8183-2295
According to our database1,
Tomo Lazovich
authored at least 10 papers
between 2018 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Reducing Population-level Inequality Can Improve Demographic Group Fairness: a Twitter Case Study.
CoRR, 2024
2023
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023
Filter bubbles and affective polarization in user-personalized large language model outputs.
Proceedings of the Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 2023
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter.
Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2023) co-located with the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), 2023
2022
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics.
Patterns, 2022
Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems.
CoRR, 2022
2020
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018