Asymptotic Logical Uncertainty and The Benford Test. - Scott Garrabrant; Siddharth Bhaskar; Abram Demski; Joanna Garrabrant; George Koleszarik; Evan Lloyd (CoRR, 2015)

Pattern avoidance is not P-recursive. - Scott Garrabrant; Igor Pak (CoRR, 2015)

Asymptotic Logical Uncertainty and the Benford Test. - Scott Garrabrant; Tsvi Benson-Tilsen; Siddharth Bhaskar; Abram Demski; Joanna Garrabrant; George Koleszarik; Evan Lloyd (AGI, 2016)

Permutation patterns are hard to count. - Scott Garrabrant; Igor Pak (SODA, 2016)

Uniform Coherence. - Scott Garrabrant; Benya Fallenstein; Abram Demski; Nate Soares (CoRR, 2016)

Asymptotic Convergence in Online Learning with Unbounded Delays. - Scott Garrabrant; Nate Soares; Jessica Taylor (CoRR, 2016)

Logical Induction. - Scott Garrabrant; Tsvi Benson-Tilsen; Andrew Critch; Nate Soares; Jessica Taylor (Electron. Colloquium Comput. Complex., 2016)

A Formal Approach to the Problem of Logical Non-Omniscience. - Scott Garrabrant; Tsvi Benson-Tilsen; Andrew Critch; Nate Soares; Jessica Taylor (TARK, 2017)

Categorizing Variants of Goodhart's Law. - David Manheim; Scott Garrabrant (CoRR, 2018)

Using TPA to count linear extensions. - Jacqueline Banks; Scott Garrabrant; Mark L. Huber; Anne Perizzolo (J. Discrete Algorithms, 2018)

Embedded Agency. - Abram Demski; Scott Garrabrant (CoRR, 2019)

Risks from Learned Optimization in Advanced Machine Learning Systems. - Evan Hubinger; Chris van Merwijk; Vladimir Mikulik; Joar Skalse; Scott Garrabrant (CoRR, 2019)

Temporal Inference with Finite Factored Sets. - Scott Garrabrant (CoRR, 2021)

Factored space models: Towards causality between levels of abstraction. - Scott Garrabrant; Matthias Georg Mayer; Magdalena Wache; Leon Lang; Sam Eisenstat; Holger Dell (CoRR, 2024)