We study the proportional clustering problem of Chen et al. (ICML '19) and relate

Thm. 3.2] we can construct an SCM

RCM. Finally, we illustrate the power of this conciliatory perspective by pinpointing

Scene flow estimation is an essential ingredient for a variety of real-world applications, especially for autonomous agents, such as self-driving cars and robots.

In this work, we investigate an alternative setting for tuning regularization parameters, namely data-driven algorithm design, following the previous line of work by Balcan et al. [