1 citations · 1 across the 2 of their papers we have counts for
3 papers
The Minimal Search Space for Conditional Causal Bandits
Francisco N. F. Q. Simoes, Itai Feigenbaum, Mehdi Dastani +1
Causal knowledge can be used to support decision-making problems. This has been recognized in the causal bandits literature, where a causal (multi-armed) bandit is characterized by…
Causal Layering via Conditional Entropy
Itai Feigenbaum, Devansh Arpit, Huan Wang +5
Causal discovery aims to recover information about an unobserved causal graph from the observable data it generates. Layerings are orderings of the variables which place causes bef…
Editing Arbitrary Propositions in LLMs without Subject Labels
Itai Feigenbaum, Devansh Arpit, Huan Wang +5
Large Language Model (LLM) editing modifies factual information in LLMs. Locate-and-Edit (L\&E) methods accomplish this by finding where relevant information is stored within the n…