1 citations · 1 across the 3 of their papers we have counts for
3 papers
Dataflow graphs as complete causal graphs
Andrei Paleyes, Siyuan Guo, Bernhard Schölkopf +1
Component-based development is one of the core principles behind modern software engineering practices. Understanding of causal relationships between components of a software syste…
On the Interventional Kullback-Leibler Divergence
Jonas Wildberger, Siyuan Guo, Arnab Bhattacharyya +1
Modern machine learning approaches excel in static settings where a large amount of i.i.d. training data are available for a given task. In a dynamic environment, though, an intell…
Pragmatic Fairness: Developing Policies with Outcome Disparity Control
Limor Gultchin, Siyuan Guo, Alan Malek +2
We introduce a causal framework for designing optimal policies that satisfy fairness constraints. We take a pragmatic approach asking what we can do with an action space available…