Towards ML Models That We Can Deploy Confidently
As machine learning (ML) systems are deployed in the real world, the reliability and trustworthiness of these systems become an even more salient challenge. This thesis aims to address this challenge through two key thrusts: (1) making ML models more trustworthy by leveraging what has been perceived...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/152859 https://orcid.org/0009-0008-9611-4702 |