27 citations · 27 across the 8 of their papers we have counts for
8 papers
Causal Estimation of Share-Induced Engagement with Flywheel Effects
Weitao Cheng, Yilin Li, Yong Wang +1
Sustainable user growth in online platforms depends not only on acquiring new users but also on reactivating and engaging existing ones through social sharing features. A well-desi…
Causal inference with dyadic data in randomized experiments
Yilin Li, Lu Deng, Yong Wang +1
Estimating treatment effects in networked settings is a central challenge in online controlled experiments, particularly on social media platforms. We investigate a scenario where…
A robust regression approach to synthetic control with interference
Peiyu He, Yilin Li, Xu Shi +1
Synthetic control methods are widely used for policy evaluation, but most existing approaches rule out interference among units, compromising validity when such effects are present…
Unbiased Estimation for Total Treatment Effect Under Interference Using Aggregated Dyadic Data
Lu Deng, Yilin Li, JingJing Zhang +2
In social media platforms, user behavior is often influenced by interactions with other users, complicating the accurate estimation of causal effects in traditional A/B experiments…
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation
Wanpeng Zhang, Yilin Li, Boyu Yang +1
In real-world scenarios, the application of reinforcement learning is significantly challenged by complex non-stationarity. Most existing methods attempt to model changes in the en…
Robust Direct Learning for Causal Data Fusion
Xinyu Li, Yilin Li, Qing Cui +2
In the era of big data, the explosive growth of multi-source heterogeneous data offers many exciting challenges and opportunities for improving the inference of conditional average…
A self-censoring model for multivariate nonignorable nonmonotone missing data
Yilin Li, Wang Miao, Ilya Shpitser +1
We introduce a self-censoring model for multivariate nonignorable nonmonotone missing data, where the missingness process of each outcome is affected by its own value and is associ…
A confounding bridge approach for double negative control inference on causal effects
Wang Miao, Xu Shi, Yilin Li +1
Unmeasured confounding is a key challenge for causal inference. In this paper, we establish a framework for unmeasured confounding adjustment with negative control variables. A neg…