Tag: treatments

Contrastive representations of high-dimensional, structured treatments arXiv:2411.19245v1 Announce Type: new Abstract: Estimating causal effects is vital for decision making. In standard causal effect estimation, treatments are usually binary- or continuous-valued. However, in many important real-world settings, treatments can be structured, high-dimensional objects, such as text, video, or audio. This provides a challenge to traditional causal…