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cs.LG2026
Revisiting scaling laws for reward optimization
Ali Aouad, Aymane El Gadarri, Vivek F. Farias
Scaling laws for optimization against reward models in AI alignment have pinned down how performance depends on optimization effort---measured by a KL-divergence budget relative to…
cs.GT2026
Misspecified Estimate-then-Optimize Leads to Supra-Competitive Prices
Jackie Baek, Vivek F. Farias, Farrell Wu
We study whether simple algorithmic pricing systems can systematically produce collusive-like prices in multi-firm markets. We consider firms that price using a myopic estimate-the…