4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Out-of-Variable Generalization for Discriminative Models
Siyuan Guo, Jonas Wildberger, Bernhard Schölkopf
The ability of an agent to do well in new environments is a critical aspect of intelligence. In machine learning, this ability is known as or $\textit{out-of-dist…
cs.LG2023★ 1 cited
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…
stat.ML2022★ 4 cited
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
Siyuan Guo, Viktor Tóth, Bernhard Schölkopf +1
Constraint-based causal discovery methods leverage conditional independence tests to infer causal relationships in a wide variety of applications. Just as the majority of machine l…