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Pairwise Exchanges of Freely Replicable Goods with Negative Externalities
Shangyuan Yang, Kirthevasan Kandasamy
We study a setting where a set of agents engage in pairwise exchanges of freely replicable goods (e.g., digital goods such as data), where two agents grant each other a copy of a g…
Strategy-robust Online Learning in Contextual Pricing
Joon Suk Huh, Kirthevasan Kandasamy
Learning effective pricing strategies is crucial in digital marketplaces, especially when buyers' valuations are unknown and must be inferred through interaction. We study online c…
Incentivizing Truthful Data Contributions in a Marketplace for Mean Estimation
Keran Chen, Alex Clinton, Kirthevasan Kandasamy
We study a data marketplace where a broker intermediates between buyers, who seek to estimate the mean \(μ\) of an unknown normal distribution \(\Ncal(μ, σ^2)\), and contributors,…
Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning
Joon Suk Huh, Kirthevasan Kandasamy
We study a multi-round mechanism design problem, where we interact with a set of agents over a sequence of rounds. We wish to design an incentive-compatible (IC) online learning sc…
Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution
Alex Clinton, Yiding Chen, Xiaojin Zhu +1
We study a collaborative learning problem where agents aim to estimate a vector by sampling from associated univariate normal distributions…