1 citations · 1 across the 10 of their papers we have counts for
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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…
Learning to Price Homogeneous Data
Keran Chen, Joon Suk Huh, Kirthevasan Kandasamy
We study a data pricing problem, where a seller has access to homogeneous data points (e.g. drawn i.i.d. from some distribution). There are types of buyers in the market, w…
Bandit Profit-maximization for Targeted Marketing
Joon Suk Huh, Ellen Vitercik, Kirthevasan Kandasamy
We study a sequential profit-maximization problem, optimizing for both price and ancillary variables like marketing expenditures. Specifically, we aim to maximize profit over an ar…