25 citations · 27 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Who Trains Matters: Federated Learning under Enrollment and Participation Selection Biases
Gota Morishita
Federated learning (FL) trains a shared model from updates contributed by distributed clients, often implicitly assuming that contributing clients are representative of the target…
cs.LG2020★ 25 cited
A Feedback Shift Correction in Predicting Conversion Rates under Delayed Feedback
Shota Yasui, Gota Morishita, Komei Fujita +1
In display advertising, predicting the conversion rate, that is, the probability that a user takes a predefined action on an advertiser's website, such as purchasing goods is funda…
stat.ML2019★ 2 cited
Dual Learning Algorithm for Delayed Conversions
Yuta Saito, Gota Morishita, Shota Yasui
In display advertising, predicting the conversion rate (CVR), meaning the probability that a user takes a predefined action on an advertiser's website, is a fundamental task for es…