9 citations · 15 across the 6 of their papers we have counts for
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2023★ 2 cited
Online learning in bandits with predicted context
Yongyi Guo, Ziping Xu, Susan Murphy
We consider the contextual bandit problem where at each time, the agent only has access to a noisy version of the context and the error variance (or an estimator of this variance).…
stat.ML2021★ 9 cited
Machine Learning for Variance Reduction in Online Experiments
Yongyi Guo, Dominic Coey, Mikael Konutgan +3
We consider the problem of variance reduction in randomized controlled trials, through the use of covariates correlated with the outcome but independent of the treatment. We propos…
stat.ML2019
Communication-Efficient Accurate Statistical Estimation
Jianqing Fan, Yongyi Guo, Kaizheng Wang
When the data are stored in a distributed manner, direct application of traditional statistical inference procedures is often prohibitive due to communication cost and privacy conc…