Synthesizing Action Sequences for Modifying Model Decisions

30 Sep 2019Goutham RamakrishnanYun Chan LeeAws Albarghouthi

When a model makes a consequential decision, e.g., denying someone a loan, it needs to additionally generate actionable, realistic feedback on what the person can do to favorably change the decision. We cast this problem through the lens of program synthesis, in which our goal is to synthesize an optimal (realistically cheapest or simplest) sequence of actions that if a person executes successfully can change their classification... (read more)

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