1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Adaptivity Complexity for Causal Graph Discovery
Davin Choo, Kirankumar Shiragur
Causal discovery from interventional data is an important problem, where the task is to design an interventional strategy that learns the hidden ground truth causal graph …
cs.LG2023
Active causal structure learning with advice
Davin Choo, Themis Gouleakis, Arnab Bhattacharyya
We introduce the problem of active causal structure learning with advice. In the typical well-studied setting, the learning algorithm is given the essential graph for the observati…
cs.LG2023★ 1 cited
New metrics and search algorithms for weighted causal DAGs
Davin Choo, Kirankumar Shiragur
Recovering causal relationships from data is an important problem. Using observational data, one can typically only recover causal graphs up to a Markov equivalence class and addit…