25 citations · 25 across the 2 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
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…