Author

Garud Iyengar

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Preprint Sep 2026

Assortment and Procurement Design in Dual-Mode Content Platforms

We study assortment and procurement design for a digital content platform offering both ad-supported and subscription access. Users are heterogeneous in content preferences and ad tolerance and self-select between the two modes or an outside option. For a fixed common subscription price and ad load, the platform choose...

Garud Iyengar, Yuanzhe Ma, Jay Sethuraman · 0 citations

#machine learning Preprint Oct 2026

Data Reuse in Non-Stationary Learning

This paper proposes a class of anytime algorithms, dubbed Exposure-Capped Reuse (ECR), that combine online change detection, compatibility testing, and contamination control, and derives a novel information-theoretic lower bound that establishes the near-minimax optimality of ECR.

Tomer Gafni, Garud Iyengar, A. Zeevi · 0 citations