Search Results for author:
Found 2 papers, 1 papers with code
Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild
In this study, we formulate real-world scenarios of content moderation and introduce a simple yet effective threshold optimization method that searches the optimal thresholds of the multiple subtasks to make a reliable moderation decision in a cost-effective way.
Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck
We also introduce an additional form of a regularizer from the perspective of understanding ITE in the semi-supervised learning framework to ensure more reliable representations.
Ranked #1 on
Causal Inference
on IDHP
