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Preprint Sep 2026

Settling the Complexity Landscape of Multi-Agent Contracts with Binary Actions

We study the computational complexity of optimal contract design in the multi-agent binary-action model, focusing on gross-substitutes reward functions and related classes. While additive rewards admit an FPTAS and general submodular rewards admit only constant-factor approximation, the complexity within the intermedia...

Michal Feldman, Maya Schlesinger, S. Shani · 0 citations
#artificial intelligence Preprint Sep 2026

GERIS: A Game-Theoretic Framework for Filtering Instance-Dependent Label Noise in License Plate Data Augmentation

Experimental results demonstrate that GERIS outperforms existing instance selection methods in terms of classification accuracy and robustness, and offers a transparent, theoretically grounded mechanism for data filtering.

S. Shani, Rouhollah Ahmadian, Amin Rahmani et al. · 0 citations

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