works on

From the 2 of 14 linked papers with an AI index.

activity
20242026
collaborators

14 papers

cs.GT2026

Dynamic Rental Games with Stagewise Individual Rationality

Batya Berzack, Rotem Oshman, Inbal Talgam-Cohen

The paper investigates dynamic mechanism design for renting a single asset over multiple days, focusing on agents who require stagewise individual rationality and deriving optimal…

cs.GT2026

Optimal Auction Design for Constrained Buyers

Batya Berzack, Rotem Oshman, Inbal Talgam-Cohen

The paper studies optimal auction design when buyers face constraints on how they can bid or spend, showing that classic auction theory results break down and providing new optimal…

cs.GT2026

Teaming Up with AI: Coordination and Cooperation

Nicole Immorlica, Inbal Talgam-Cohen

Successful diffusion of AI in the workforce hinges on the economic value that AI brings to human endeavors. Bringing AI into the workforce is more than deploying a powerful new tec…

cs.GT2026

Adaptive Contracts for Cost-Effective AI Delegation

Eden Saig, Tamar Garbuz, Ariel D. Procaccia +2

When organizations delegate text generation tasks to AI providers via pay-for-performance contracts, expected payments rise when evaluation is noisy. As evaluation methods become m…

cs.LG2026

ZEBRA: Zero-shot Budgeted Resource Allocation for LLM Orchestration

May Hamri, Inbal Talgam-Cohen

As autonomous agents increasingly execute end-to-end tasks under fixed monetary budgets, the pressing open question shifts from whether the budget is respected, to how to spend it…

cs.GT2026

An Algorithm-to-Contract Framework without Demand Queries

Ilan Doron-Arad, Hadas Shachnai, Gilad Shmerler +1

Consider costly and time-consuming tasks that add up to the success of a project, and must be fitted into a given time-frame. This is an instance of the classic budgeted maximizati…