Search papers, labs, and topics across Lattice.
Affiliation:
3
0
3
2
A dual-threshold targeting policy can cut recommendation impressions by 7% without sacrificing user engagement, showcasing the power of causal modeling in recommendation systems.
Larger context sizes can amplify spurious signal reliance in tabular ICLs, leading to a 1.74x increase in routing errors when models are deployed in new environments.
Causal features can be identified post-hoc with 100% accuracy using the Normalised Sensitivity Ratio, even in complex environments.
