1 citations · 1 across the 7 of their papers we have counts for
8 papers
How Synthetic Labels Improve Conformal Prediction: A Perspective on Conditional Coverage
Qianyi Chen, Bo Li
Conformal prediction provides distribution-free finite-sample marginal coverage, but post-hoc calibration data may be too scarce to learn how uncertainty varies across inputs. Mean…
COSTA: Covariance-Optimized Design and Causal Inference under Network-Temporal Interference
Qianyi Chen, Bo Li, Yongli Qin +1
Experiments on networks observed over time face network spillovers, temporal carryover, and dependence deliberately introduced by the design. We propose COSTA---Covariance-Optimize…
Doubly Robust Estimation of Causal Effect on CVR with Targeted Regularization
Jiayi Dan, Bo Li, Lu Deng +1
Post-click conversion rate (CVR) is a key metric in various scenarios including e-commerce and advertising, reflecting the efficiency and user experience in the second stage of the…
Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference
Qianyi Chen, Anpeng Wu, Bo Li +2
A/B testing on platforms often faces challenges from network interference, where a unit's outcome depends not only on its own treatment but also on the treatments of its network ne…
Colorful Pinball: Density-Weighted Quantile Regression for Conditional Guarantee of Conformal Prediction
Qianyi Chen, Bo Li
Although conformal prediction provides robust marginal coverage guarantees, achieving reliable conditional coverage for specific inputs remains challenging. While exact distributio…
Practical Performative Policy Learning with Strategic Agents
Qianyi Chen, Ying Chen, Bo Li
This paper studies the performative policy learning problem, where agents adjust their features in response to a released policy to improve their potential outcomes, inducing an en…
Just Ramp-up: Debiasing Regression-based Estimator for A/B Tests under Network Interference
Qianyi Chen, Bo Li
Network interference complicates A/B testing on online platforms, such as social networks and marketplaces, where causal methods based on single experiments often suffer from signi…
Optimized Covariance Design for AB Test on Social Network under Interference
Qianyi Chen, Bo Li, Lu Deng +1
Online A/B tests have become increasingly popular and important for social platforms. However, accurately estimating the global average treatment effect (GATE) has proven to be cha…