20 citations · 73 across the 19 of their papers we have counts for
20 papers
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…
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…
Correcting for Interference in Experiments: A Case Study at Douyin
Vivek F. Farias, Hao Li, Tianyi Peng +3
Interference is a ubiquitous problem in experiments conducted on two-sided content marketplaces, such as Douyin (China's analog of TikTok). In many cases, creators are the natural…
Policy Optimization for Personalized Interventions in Behavioral Health
Jackie Baek, Justin J. Boutilier, Vivek F. Farias +2
Behavioral health interventions, delivered through digital platforms, have the potential to significantly improve health outcomes, through education, motivation, reminders, and out…
Markovian Interference in Experiments
Vivek F. Farias, Andrew A. Li, Tianyi Peng +1
We consider experiments in dynamical systems where interventions on some experimental units impact other units through a limiting constraint (such as a limited inventory). Despite…
Synthetically Controlled Bandits
Vivek Farias, Ciamac Moallemi, Tianyi Peng +1
This paper presents a new dynamic approach to experiment design in settings where, due to interference or other concerns, experimental units are coarse. `Region-split' experiments…