activity
20102026
most citedPerception Games and Privacy

25 citations · 52 across the 23 of their papers we have counts for

collaborators

28 papers

econ.TH2026

Robustness of Persuasion to Receiver Preferences

Ronen Gradwohl, Fengming Hu, Rann Smorodinsky

We study the robustness of Bayesian persuasion to (Knightian) uncertainty about the receiver's preferences. We consider two properties: continuity, in which only the modeler lacks…

econ.TH2025

Randomization and Efficiency under Incomplete Information

Itai Arieli, Yakov Babichenko, Atulya Jain +1

We study ex-ante Pareto efficiency of feasible outcomes in games with incomplete information. Our main observation is that excessive randomization leads to inefficiency. With a non…

econ.TH2023

Informationally Robust Cheap-Talk

Itai Arieli, Ronen Gradwohl, Rann Smorodinsky

We study the robustness of cheap-talk equilibria to infinitesimal private information of the receiver in a model with a binary state-space and state-independent sender-preferences.…

cs.GT2022

Data Curation from Privacy-Aware Agents

Roy Shahmoon, Rann Smorodinsky, Moshe Tennenholtz

A data curator would like to collect data from privacy-aware agents. The collected data will be used for the benefit of all agents. Can the curator incentivize the agents to share…

econ.TH2020

On social networks that support learning

Itai Arieli, Fedor Sandomirskiy, Rann Smorodinsky

It is well understood that the structure of a social network is critical to whether or not agents can aggregate information correctly. In this paper, we study social networks that…

cs.GT2020

Algorithms for Persuasion with Limited Communication

Ronen Gradwohl, Niklas Hahn, Martin Hoefer +1

The Bayesian persuasion paradigm of strategic communication models interaction between a privately-informed agent, called the sender, and an ignorant but rational agent, called the…

cs.GT2020

Reaping the Informational Surplus in Bayesian Persuasion

Ronen Gradwohl, Niklas Hahn, Martin Hoefer +1

The Bayesian persuasion model studies communication between an informed sender and a receiver with a payoff-relevant action, emphasizing the ability of a sender to extract maximal…

econ.TH2019

A Cardinal Comparison of Experts

Itay Kavaler, Rann Smorodinsky

In various situations, decision makers face experts that may provide conflicting advice. This advice may be in the form of probabilistic forecasts over critical future events. We c…

cs.GT2019

The Secretary Recommendation Problem

Niklas Hahn, Martin Hoefer, Rann Smorodinsky

In this paper we revisit the basic variant of the classical secretary problem. We propose a new approach in which we separate between an agent that evaluates the secretary performa…

econ.TH2019★ 3 cited

The Implications of Pricing on Social Learning

Itai Arieli, Moran Koren, Rann Smorodinsky

We study the implications of endogenous pricing for learning and welfare in the classic herding model . When prices are determined exogenously, it is known that learning occurs if…

cs.GT2018★ 1 cited

Recommendation Systems and Self Motivated Users

Gal Bahar, Rann Smorodinsky, Moshe Tennenholtz

Modern recommendation systems rely on the wisdom of the crowd to learn the optimal course of action. This induces an inherent mis-alignment of incentives between the system's objec…

cs.GT2018★ 2 cited

Segmentation, Incentives and Privacy

Kobbi Nissim, Rann Smorodinsky, Moshe Tennenholtz

Data driven segmentation is the powerhouse behind the success of online advertising. Various underlying challenges for successful segmentation have been studied by the academic com…

cs.GT2018

The One-Shot Crowdfunding Game

Itai Arieli, Moran Koren, Rann Smorodinsky

The recent success of crowd-funding for supporting new and innovative products has been overwhelming with over 34 Billion Dollars raised in 2015. In many crowd-funding platforms, f…

stat.ME2017★ 2 cited

On Comparison Of Experts

Itay Kavaler, Rann Smorodinsky

A policy maker faces a sequence of unknown outcomes. At each stage two (self-proclaimed) experts provide probabilistic forecasts on the outcome in the next stage. A comparison test…

econ.GN2017★ 1 cited

Robust Forecast Aggregation

Itai Areili, Yakov Babichenko, Rann Smorodinsky

Bayesian experts who are exposed to different evidence often make contradictory probabilistic forecasts. An aggregator, ignorant of the underlying model, uses this to calculate her…

cs.GT2017

The Crowdfunding Game

Itai Arieli, Moran Koren, Rann Smorodinsky

The recent success of crowdfunding for supporting new and innovative products has been overwhelming with over 34 Billion Dollars raised in 2015. In many crowdfunding platforms, fir…

math.CO2017

Hypergraphical Clustering Games of Mis-Coordination

Rann Smorodinsky, Shakhar Smorodinsky

We introduce and motivate the study of hypergraphical clustering games of mis-coordination. For two specific variants we prove the existence of a pure Nash equilibrium and provide…

cs.GT2017

Stable Secretaries

Yakov Babichenko, Yuval Emek, Michal Feldman +3

We define and study a new variant of the secretary problem. Whereas in the classic setting multiple secretaries compete for a single position, we study the case where the secretari…

cs.GT2016

Multi-Issue Social Learning

Gal Bahar, Itai Arieli, Rann Smorodinsky +1

We consider social learning where agents can only observe part of the population (modeled as neighbors on an undirected graph), face many decision problems, and arrival order of th…

cs.GT2015★ 11 cited

Economic Recommendation Systems

Gal Bahar, Rann Smorodinsky, Moshe Tennenholtz

In the on-line Explore and Exploit literature, central to Machine Learning, a central planner is faced with a set of alternatives, each yielding some unknown reward. The planner's…

cs.GT2014★ 25 cited

Perception Games and Privacy

Ronen Gradwohl, Rann Smorodinsky

Players (people, firms, states, etc.) have privacy concerns that may affect their choice of actions in strategic settings. We use a variant of signaling games to model this effect…

cs.GT2012

Ex-Post Equilibrium and VCG Mechanisms

Rakefet Rozen, Rann Smorodinsky

Consider an abstract social choice setting with incomplete information, where the number of alternatives is large. Albeit natural, implementing VCG mechanisms may not be feasible d…

cs.GT2012

Sequential Information Elicitation in Multi-Agent Systems

Rann Smorodinsky, Moshe Tennenholtz

We introduce the study of sequential information elicitation in strategic multi-agent systems. In an information elicitation setup a center attempts to compute the value of a funct…

cs.GT2012★ 1 cited

Signalling Competition and Social Welfare (Working Paper)

Gleb Polevoy, Rann Smorodinsky, Moshe Tennenholtz

We consider an environment where sellers compete over buyers. All sellers are a-priori identical and strategically signal buyers about the product they sell. In a setting motivated…