9 citations · 15 across the 6 of their papers we have counts for
7 papers
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).…
Policy Optimization Using Semi-parametric Models for Dynamic Pricing
Jianqing Fan, Yongyi Guo, Mengxin Yu
In this paper, we study the contextual dynamic pricing problem where the market value of a product is linear in its observed features plus some market noise. Products are sold one…
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…
Best subset selection is robust against design dependence
Yongyi Guo, Ziwei Zhu, Jianqing Fan
Best subset selection (BSS) is widely known as the holy grail for high-dimensional variable selection. Nevertheless, the notorious NP-hardness of BSS substantially restricts its pr…
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…
Adaptive Huber Regression on Markov-dependent Data
Jianqing Fan, Yongyi Guo, Bai Jiang
High-dimensional linear regression has been intensively studied in the community of statistics in the last two decades. For the convenience of theoretical analyses, classical metho…
Stochastic robustness and relative stability of multiple pathways in biological networks
Yongyi Guo, Zhiyi You, Min Qian +1
Multiple dynamic pathways always exist in biological networks, but their robustness against internal fluctuations and relative stability have not been well recognized and carefully…