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20082026
most citedA Utility Framework for Bounded-Loss Market Makers

136 citations · 515 across the 65 of their papers we have counts for

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6 papers · 1 filter

cs.LG2025

Data Reliability Scoring

Yiling Chen, Shi Feng, Paul Kattuman +1

How can we assess the reliability of a dataset without access to ground truth? We introduce the problem of reliability scoring for datasets collected from potentially strategic sou…

cs.LG2025

Strategic Hypothesis Testing

Safwan Hossain, Yatong Chen, Yiling Chen

We examine hypothesis testing within a principal-agent framework, where a strategic agent, holding private beliefs about the effectiveness of a product, submits data to a principal…

cs.LG2024★ 1 cited

FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting

Jeffrey Ma, Alan Tu, Yiling Chen +1

Federated Learning (FL) endeavors to harness decentralized data while preserving privacy, facing challenges of performance, scalability, and collaboration. Asynchronous Federated L…

cs.LG2022★ 1 cited

Sample Complexity of Forecast Aggregation

Tao Lin, Yiling Chen

We consider a Bayesian forecast aggregation model where experts, after observing private signals about an unknown binary event, report their posterior beliefs about the event t…

cs.LG2019★ 4 cited

Fair Classification and Social Welfare

Lily Hu, Yiling Chen

Now that machine learning algorithms lie at the center of many resource allocation pipelines, computer scientists have been unwittingly cast as partial social planners. Given this…

cs.LG2018★ 15 cited

Welfare and Distributional Impacts of Fair Classification

Lily Hu, Yiling Chen

Current methodologies in machine learning analyze the effects of various statistical parity notions of fairness primarily in light of their impacts on predictive accuracy and vendo…