64 citations · 251 across the 24 of their papers we have counts for
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stat.ML2026
Beyond Second-Order Information: Paid Logistic Regression with Noisy Features
Sanghwa Kim, Kyoungseok Jang, Se-Young Yun
We consider online binary prediction with paid stochastic features, where the learner can spend resources to obtain better observations of the underlying features. This setting is…
stat.ML2020★ 1 cited
Regret in Online Recommendation Systems
Kaito Ariu, Narae Ryu, Se-Young Yun +1
This paper proposes a theoretical analysis of recommendation systems in an online setting, where items are sequentially recommended to users over time. In each round, a user, rando…
stat.ML2019
Accelerated MM Algorithms for Ranking Scores Inference from Comparison Data
Milan Vojnovic, Seyoung Yun, Kaifang Zhou
In this paper, we study a popular method for inference of the Bradley-Terry model parameters, namely the MM algorithm, for maximum likelihood estimation and maximum a posteriori pr…