2 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
Efficient Adaptive Data Analysis over Dense Distributions
Joon Suk Huh
Modern data workflows are inherently adaptive, repeatedly querying the same dataset to refine and validate sequential decisions, but such adaptivity can lead to overfitting and inv…
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…
On the Power of Deep but Naive Partial Label Learning
Junghoon Seo, Joon Suk Huh
Partial label learning (PLL) is a class of weakly supervised learning where each training instance consists of a data and a set of candidate labels containing a unique ground truth…