8 citations · 18 across the 9 of their papers we have counts for
9 papers
Group Fairness with Uncertainty in Sensitive Attributes
Abhin Shah, Maohao Shen, Jongha Jon Ryu +4
Learning a fair predictive model is crucial to mitigate biased decisions against minority groups in high-stakes applications. A common approach to learn such a model involves solvi…
On Confidence Sequences for Bounded Random Processes via Universal Gambling Strategies
J. Jon Ryu, Alankrita Bhatt
This paper considers the problem of constructing a confidence sequence, which is a sequence of confidence intervals that hold uniformly over time, for estimating the mean of bounde…
An Information-Theoretic Proof of the Kac--Bernstein Theorem
J. Jon Ryu, Young-Han Kim
A short, information-theoretic proof of the Kac--Bernstein theorem, which is stated as follows, is presented: For any independent random variables and , if and a…
On Universal Portfolios with Continuous Side Information
Alankrita Bhatt, J. Jon Ryu, Young-Han Kim
A new portfolio selection strategy that adapts to a continuous side-information sequence is presented, with a universal wealth guarantee against a class of state-constant rebalance…
Parameter-free Online Linear Optimization with Side Information via Universal Coin Betting
J. Jon Ryu, Alankrita Bhatt, Young-Han Kim
A class of parameter-free online linear optimization algorithms is proposed that harnesses the structure of an adversarial sequence by adapting to some side information. These algo…
Minimax Optimal Algorithms with Fixed--Nearest Neighbors
J. Jon Ryu, Young-Han Kim
This paper presents how to perform minimax optimal classification, regression, and density estimation based on fixed- nearest neighbor (NN) searches. We consider a distributed l…