activity
20102026
most citedVertex Sparsifiers: New Results from Old Techniques

24 citations · 57 across the 43 of their papers we have counts for

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Showing cs.GTShow all

42 papers · 1 filter

cs.GT2026

An Introduction to Contract Theory for Computer Scientists

Paul Duetting, Michal Feldman, Inbal Talgam-Cohen

This survey introduces contract design to computer scientists: using outcome-based payments to incentivize effort. We discuss applications that motivate a computational approach to…

cs.GT2026

Ex-ante versus Ex-post: Egalitarian Facility Location Mechanism Design

Zohar Barak, Inbal Talgam-Cohen

We study the facility location mechanism design problem where strategic agents report locations in Euclidean space and the mechanism outputs a single facility location. Each ag…

cs.GT2026

Optimal Auction Design for Constrained Buyers

Batya Berzack, Rotem Oshman, Inbal Talgam-Cohen

We study single-parameter, multi-buyer auctions in which buyers are subject to constraints that affect their bidding strategy. Such constraints arise in many real-world auction set…

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.GT2026

Online Contract Design

Elad Lavi, Hadas Shachnai, Inbal Talgam-Cohen

We initiate the study of online contracts, which integrate the game-theoretic considerations of economic contract theory, with the algorithmic and informational challenges of onlin…

cs.GT2025

Approximating Pandora's Knapsack via Simple Policies

Zohar Barak, Asnat Berlin, Ilan Reuven Cohen +3

We introduce Pandora's Knapsack: a hybrid between the classic stochastic knapsack problem [Dean et al., 2008] and Pandora's box [Weitzman, 1979]. As in stochastic knapsack, items h…

cs.GT2025

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…

cs.GT2025

Multi-Project Contracts

Tal Alon, Matteo Castiglioni, Junjie Chen +3

We study a new class of contract design problems where a principal delegates the execution of multiple projects to a set of agents. The principal's expected reward from each projec…

cs.GT2025

Dynamic Rental Games with Stagewise Individual Rationality

Batya Berzack, Rotem Oshman, Inbal Talgam-Cohen

We study \emph{rental games} -- a single-parameter dynamic mechanism design problem, in which a designer rents out an indivisible asset over days. Each day, an agent arrives wi…

cs.GT2025

Welfare and Beyond in Multi-Agent Contracts

Gil Aharoni, Martin Hoefer, Inbal Talgam-Cohen

A principal delegates a project to a team from a pool of agents. The project's value if all agents in exert costly effort is . To incentivize the agents to partic…

cs.GT2024★ 2 cited

Algorithmic Contract Theory: A Survey

Paul Duetting, Michal Feldman, Inbal Talgam-Cohen

A contract is an economic tool used by a principal to incentivize one or more agents to exert effort on her behalf, by defining payments based on observable performance measures. A…

cs.GT2024

Principal-Agent Reinforcement Learning: Orchestrating AI Agents with Contracts

Dima Ivanov, Paul Dütting, Inbal Talgam-Cohen +2

The increasing deployment of AI is shaping the future landscape of the internet, which is set to become an integrated ecosystem of AI agents. Orchestrating the interaction among AI…

cs.GT2024

Incentivizing Quality Text Generation via Statistical Contracts

Eden Saig, Ohad Einav, Inbal Talgam-Cohen

While the success of large language models (LLMs) increases demand for machine-generated text, current pay-per-token pricing schemes create a misalignment of incentives known in ec…

cs.GT2024

Statistically Truthful Auctions via Acceptance Rule

Roy Maor Lotan, Inbal Talgam-Cohen, Yaniv Romano

Auctions are key for maximizing sellers' revenue and ensuring truthful bidding among buyers. Recently, an approach known as differentiable economics based on machine learning (ML)…

cs.GT2024★ 1 cited

MAC Advice for Facility Location Mechanism Design

Zohar Barak, Anupam Gupta, Inbal Talgam-Cohen

Algorithms with predictions have attracted much attention in the last years across various domains, including variants of facility location, as a way to surpass traditional worst-c…

cs.GT2024★ 1 cited

Contracting with a Learning Agent

Guru Guruganesh, Yoav Kolumbus, Jon Schneider +4

Many real-life contractual relations differ completely from the clean, static model at the heart of principal-agent theory. Typically, they involve repeated strategic interactions…

cs.GT2023

Algorithmic Cheap Talk

Yakov Babichenko, Inbal Talgam-Cohen, Haifeng Xu +1

The literature on strategic communication originated with the influential cheap talk model, which precedes the Bayesian persuasion model by three decades. This model describes an i…

cs.GT2023

A Random Dictator Is All You Need

Itai Arieli, Yakov Babichenko, Inbal Talgam-Cohen +1

We study information aggregation with a decision maker aggregating binary recommendations from symmetric agents. Each agent's recommendation depends on her private information abou…

cs.GT2022

Approximate Optimality of Linear Contracts Under Uncertainty

Tal Alon, Paul Dütting, Yingkai Li +1

We consider a hidden-action principal-agent model, in which actions require different amounts of effort, and the agent privately knows his ability that determines his cost of effor…

cs.GT2022

Information Design in the Principal-Agent Problem

Yakov Babichenko, Inbal Talgam-Cohen, Haifeng Xu +1

We study a variant of the principal-agent problem in which the principal does not directly observe the agent's effort outcome; rather, she gets a signal about the agent's action ac…

cs.GT2022★ 4 cited

Distributional Robustness: From Pricing to Auctions

Nir Bachrach, Inbal Talgam-Cohen

Robust mechanism design is a rising alternative to Bayesian mechanism design, which yields designs that do not rely on assumptions like full distributional knowledge. We apply this…

cs.GT2022★ 3 cited

Interdependent Public Projects

Avi Cohen, Michal Feldman, Divyarthi Mohan +1

In the interdependent values (IDV) model introduced by Milgrom and Weber [1982], agents have private signals that capture their information about different social alternatives, and…

cs.GT2021

Contracts with Private Cost per Unit-of-Effort

Tal Alon, Paul Dütting, Inbal Talgam-Cohen

Economic theory distinguishes between principal-agent settings in which the agent has a private type and settings in which the agent takes a hidden action. Many practical problems,…