24 citations · 84 across the 14 of their papers we have counts for
3 papers · 1 filter
Logical Induction
Scott Garrabrant, Tsvi Benson-Tilsen, Andrew Critch +2
We present a computable algorithm that assigns probabilities to every logical statement in a given formal language, and refines those probabilities over time. For instance, if the…
Inductive Coherence
Scott Garrabrant, Benya Fallenstein, Abram Demski +1
While probability theory is normally applied to external environments, there has been some recent interest in probabilistic modeling of the outputs of computations that are too exp…
Asymptotic Convergence in Online Learning with Unbounded Delays
Scott Garrabrant, Nate Soares, Jessica Taylor
We study the problem of predicting the results of computations that are too expensive to run, via the observation of the results of smaller computations. We model this as an online…