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Benjamin Heymann

3 accepted papers

2026

On the Impact of the Utility in Semivalue-based Data Valuation

ICLR 2026poster

Semivalue–based data valuation uses cooperative‐game theory intuitions to assign each data point a value reflecting its contribution to a downstream task. Still, those values depend on the practitioner’s choice of utility, raising the question: *How robust is semivalue-based data valuation to change…

Cited by 2SourceScholar
2024

DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation

NeurIPS 2024poster

We consider the dataset valuation problem, that is the problem of quantifying the incremental gain, to some relevant pre-defined utility of a machine learning task, of aggregating an individual dataset to others. The Shapley value is a natural tool to perform dataset valuation due to its formal axio…

Cited by 2SourcePDFScholar
2024

Maximizing the Success Probability of Policy Allocations in Online Systems

AAAI 2024technical

The effectiveness of advertising in e-commerce largely depends on the ability of merchants to bid on and win impressions for their targeted users. The bidding procedure is highly complex due to various factors such as market competition, user behavior, and the diverse objectives of advertisers. In t…