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We study valuing the data of a data owner/seller for a data seeker/buyer.
Data markets to support AI for all: pricing, valuation and governance
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The MNIST database of handwritten digits
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Towards data auctions with externalities
Agarwal, A.; Dahleh, M.; Horel, T.; and Rui, M. 2021 · 2003
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ImageNet: A large-scale hierarchical image database
Deng, J.; Dong, W.; Socher, R.; Li, L.-J.; Li, K.; and Fei-Fei, L. 2009 · 2009
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Learning multiple layers of features from tiny images
Krizhevsky, A. 2009 · 2009
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Pricing approaches for data markets
Muschalle et al. 2012 · 2012
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Marketplaces for data: an initial survey
Schomm et al. 2013 · 2013
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A tutorial on principal component analysis
Shlens, J. 2014 · 2014
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Data collection and wireless communication in internet of things (IoT) using economic analysis and pricing models: a survey
Luong, N. C.; Hoang, D. T.; Wang, P.; Niyato, D.; Kim, D. I.; and Han, Z. 2016 · 2016
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Pricing strategies and levels and their impact on corporate profitability
Toni, D. D.; Milan, G. S.; Saciloto, E. B.; and Larentis, F. 2017 · 2017
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Fashion-MNIST: a novel image dataset for benchmarking machine Learning algorithms
Xiao et al. 2017 · 2017
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Recommender systems as mechanisms for social learning
Che et al. 2018 · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Zhang, R.; Isola, P.; Efros, A. A.; Shechtman, E.; and Wang, O. 2018 · 2018
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A marketplace for data: an algorithmic solution
Agarwal et al. 2019 · 2019
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Information sale and competition
Bimpikis et al. 2019 · 2019
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Towards model-based pricing for machine learning in a data marketplace
Chen et al. 2019 · 2019
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Data Shapley: equitable valuation of data for machine learning
Ghorbani et al. 2019 · 2019
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Towards efficient data valuation based on the Shapley value
Jia, R.; Dao, D.; Wang, B.; Hubis, F. A.; Hynes, N.; Gurel, N. M.; Li, B.; Zhang, C.; Song, D.; and Spanos, C. 2019 · 2019
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FairFace: face attribute dataset for balanced race, gender, and age for bias measurement and mitigation
Karkkainen et al. 2021 · 2021
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Dealer: an end-to-end model marketplace with differential privacy
Liu, J.; Lou, J.; Liu, J.; Xiong, L.; Pei, J.; and Sun, J. 2021 · 2021
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Rasouli et al. 2021 · 2021
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Validation free and replication robust volume-based data valuation
Xu, X.; Wu, Z.; Foo, C. S.; and Low, B. K. H. 2021 · 2021
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If you like Shapley then you’ll love the core
Yan et al. 2021 · 2021
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Optimal advertising for information products
Zheng et al. 2021 · 2021
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Profit allocation for federated learning
Song et al. 2019 · 2019
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Incentivizing exploration with selective data disclosure
Immorlica, N.; Mao, J.; Slivkins, A.; and Wu, Z. S. 2020 · 2020
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A survey on data pricing: from economics to data science
Pei, J. 2020 · 2020
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Budget-bounded incentives for federated learning
Richardson et al. 2020 · 2020
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Collaborative machine learning with incentive-aware model rewards
Sim, R. H. L.; Zhang, Y.; Chan, M. C.; and Low, B. K. H. 2020 · 2020
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A principled approach to data valuation for federated learning
Wang, T.; Rausch, J.; Zhang, C.; Jia, R.; and Song, D. 2020 · 2020
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Data, Competition, and Digital Platforms
Bergemann et al. 2022 · 2022
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Data pricing in machine learning pipelines
Cong, Z.; Luo, X.; Pei, J.; Zhu, F.; and Zhang, Y. 2022 · 2022
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Gradwohl et al. 2022 · 2022
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Data valuation in machine learning: “ingredients”, strategies, and open challenges
Sim et al. 2022 · 2022
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Incentivizing collaboration in machine learning via synthetic data rewards
Tay, S. S.; Xu, X.; Foo, C. S.; ; and Low, B. K. H. 2022 · 2022
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Unlocking the value of privacy: trading aggregate statistics over private correlated data
Niu, C.; Zheng, Z.; Wu, F.; Tang, S.; Gao, X.; and Chen, G. 2018 · 2040
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