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1
Topics in Sequential Decision Making and Algorithmic Fairness.
Topics in Sequential Decision Making and Algorithmic Fairness.
Niss, Laura K.Statistics. | University of Michigan. | 2022
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2
Dynamics of Algorithmic Fairness.
Dynamics of Algorithmic Fairness.
Hu, Lily.Engineering and Applied Sciences - Applie | Harvard University. | 2022
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3
Machine Learning Methods for Data-Driven Decision Making: Contextual Optimization, Causal Inference, and Algorithmic Fairness.
Machine Learning Methods for Data-Driven Decision Making: Contextual Optimization, Causal Inference, and Algorithmic Fairness.
Mao, Xiaojie.Statistics. | Cornell University. | 2021
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4
Responsible Machine Learning: Fairness and Information Protection.
Responsible Machine Learning: Fairness and Information Protection.
Yin, Tongxin.Electrical and Computer Engineering. | University of Michigan. | 2024
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5
Machine-Learning Fairness in Data Markets: Challenges and Opportunities.
Machine-Learning Fairness in Data Markets: Challenges and Opportunities.
Maio, Roland.Computer Science. | Columbia University. | 2024
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6
Learning From the Outliers: On Centering Underrepresented Communities to Build Inclusive and Socially-Grounded Language Technologies.
Learning From the Outliers: On Centering Underrepresented Communities to Build Inclusive and Socially-Grounded Language Technologies.
Ovalle, Anaelia Altagracia.Computer Science 0201. | University of California, Los Angeles. | 2024
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7
Algorithmic Decision-Making with Stakeholder Participation- [electronic resource]
Algorithmic Decision-Making with Stakeholder Participation- [electronic resource]
Keswani, Vijay.Statistics and Data Science. | Yale University. | 2023
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8
Information-Theoretic Tools for Machine Learning Beyond Accuracy- [electronic resource]
Information-Theoretic Tools for Machine Learning Beyond Accuracy- [electronic resource]
Hsu, Hsiang.Engineering and Applied Sciences - Com | Harvard University. | 2023
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9
Algorithm and Mechanism Design in Decision-Making Environments- [electronic resource]
Algorithm and Mechanism Design in Decision-Making Environments- [electronic resource]
Arsenis, Makis.Computer Science. | Cornell University. | 2023
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10
Differentially Private and Fair Optimization for Machine Learning: Tight Error Bounds and Efficient Algorithms- [electronic resource]
Differentially Private and Fair Optimization for Machine Learning: Tight Error Bounds and Efficient Algorithms- [electronic resource]
Lowy, Andrew.Applied Mathematics. | University of Southern California. | 2023
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