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Poster
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Tue 14:00
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EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization
Laurent Condat · Kai Yi · Peter Richtarik
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Workshop
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Towards Algorithmic Fairness in Space-Time: Filling in Black Holes
Cheryl Flynn · Aritra Guha · Subhabrata Majumdar · Divesh Srivastava · Zhengyi Zhou
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Workshop
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Towards a genealogical approach to explaining algorithmic bias
Marta Ziosi
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Workshop
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Addressing observational biases in algorithmic fairness assessments
Chirag Nagpal · Olawale Salaudeen · Sanmi Koyejo · Stephen Pfohl
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Affinity Workshop
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Que(e)rying the Use of Artificial Intelligence for Infectious Disease Surveillance: How to Ensure New Tools Do Not Perpetuate a Long History of Health Disparities Affecting LGBTQI+ Populations
Elise Racine
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Workshop
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Exploring Human-AI Collaboration for Fair Algorithmic Hiring
Hyun Joo Shin · Anqi Liu
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Poster
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Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective
Jiadong Liang · Yuze Han · Xiang Li · Zhihua Zhang
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Poster
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Tue 9:00
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[Re] Exacerbating Algorithmic Bias through Fairness Attacks
Angelos Nalmpantis · Apostolos Panagiotopoulos · John Gkountouras · Konstantinos Papakostas
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Poster
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Thu 9:00
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[Re] Exacerbating Algorithmic Bias through Fairness Attacks
Matteo Tafuro · Andrea Lombardo · Tin Hadži Veljković · Lasse Becker-Czarnetzki
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