Author

Garud Iyengar

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Open access Oct 2026

Online Allocation with Heterogeneous Supply and Minimum Workload Guarantees

Keeping Gig Workers Working How should platforms allocate jobs when workers need a minimum amount of work to stay engaged? In their accepted paper, “Online Allocation with Heterogeneous Supply and Minimum Workload Guarantees,” Garud Iyengar and Raghav Singal study this question in online labor marketplaces, where work...

Garud Iyengar, Raghav Singal · Operational Research · 0 citations

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