Program Synthesis over Noisy Data
I present a new framework and associated synthesis algorithms for program synthesis over noisy data, i.e., data that may contain incorrect/corrupted input-output examples. I model the process that produced the noisy dataset as the selection of inputs and a hidden program from an input source and pro...
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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/1721.1/147359 |