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Interpretability
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Harnessing Function Space of Machine Learning Models for Interpretability, Generalizability, and Efficiency
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Methods for Improving the Interpretability and Evaluation of Machine Learning Models and Decision Making Systems
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Spring 2023
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Spring 2025
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School
Laney Graduate School
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Department / Specialty
Biostatistics
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Computer Science and Informatics
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Ph.D.
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Dissertation
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Computer Science
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Artificial Intelligence
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Statistics
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Abeed Sarker, Emory University
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Benjamin Risk, Emory University
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Carl Yang, Emory University
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David Benkeser, Emory University
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Joyce Ho, Emory University
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Keyword
Interpretability
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Machine Learning
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Causal Inference
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Deep Neural Networks
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