activity
20172026
most citedPrior-free Data Acquisition for Accurate Statistical Estimation

14 citations · 25 across the 11 of their papers we have counts for

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Showing cs.GTShow all

7 papers · 1 filter

cs.GT2023

Bayesian Conversations

Renato Paes Leme, Jon Schneider, Heyang Shang +1

We study Bayesian conversations, a model of interactive information disclosure between two privately informed agents. Unlike Bayesian persuasion, information flows in both directio…

cs.GT2021

Private Interdependent Valuations

Alon Eden, Kira Goldner, Shuran Zheng

We consider the single-item interdependent value setting, where there is a monopolist, buyers, and each buyer has a private signal describing a piece of information about…

cs.GT2021★ 4 cited

The Limits of Multi-task Peer Prediction

Shuran Zheng, Fang-Yi Yu, Yiling Chen

Recent advances in multi-task peer prediction have greatly expanded our knowledge about the power of multi-task peer prediction mechanisms. Various mechanisms have been proposed in…

cs.GT2020★ 4 cited

Truthful Data Acquisition via Peer Prediction

Yiling Chen, Yiheng Shen, Shuran Zheng

We consider the problem of purchasing data for machine learning or statistical estimation. The data analyst has a budget to purchase datasets from multiple data providers. She does…

cs.GT2020★ 3 cited

Optimal Advertising for Information Products

Shuran Zheng, Yiling Chen

When selling information products, the seller can provide some free partial information to change people's valuations so that the overall revenue can possibly be increased. We stud…

cs.GT2019

Selling Information Through Consulting

Yiling Chen, Haifeng Xu, Shuran Zheng

We consider a monopoly information holder selling information to a budget-constrained decision maker, who may benefit from the seller's information. The decision maker has a utilit…

cs.GT2018★ 14 cited

Prior-free Data Acquisition for Accurate Statistical Estimation

Yiling Chen, Shuran Zheng

We study a data analyst's problem of acquiring data from self-interested individuals to obtain an accurate estimation of some statistic of a population, subject to an expected budg…