Defines behaviorally realistic strategic classification and proposes Pro-SF, a prospect-theory-based framework to model non-rational agent manipulations in strategic classification.
IJCAI , year=
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.AI 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper proposes Strategic Prior-data Fitted Network (SPN), an inference-time framework that adapts pretrained tabular foundation models (PFNs) to strategic manipulation by aligning predictions with approximated post-manipulation distributions via strategic in-context examples.
citing papers explorer
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Beyond Rational Illusion: Behaviorally Realistic Strategic Classification
Defines behaviorally realistic strategic classification and proposes Pro-SF, a prospect-theory-based framework to model non-rational agent manipulations in strategic classification.
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When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach
The paper proposes Strategic Prior-data Fitted Network (SPN), an inference-time framework that adapts pretrained tabular foundation models (PFNs) to strategic manipulation by aligning predictions with approximated post-manipulation distributions via strategic in-context examples.