Aaron Schein

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20232026

most citedMeasurement in the Age of LLMs: An Application to Ideological Scaling

5 citations · 6 across the 6 of their papers we have counts for

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stat.ML2026

Near-Universal Multiplicative Updates for Nonnegative Einsum Factorization

John Hood, Aaron Schein

Despite the ubiquity of multiway data across scientific domains, there are few performant and user-friendly methods that fit non-standard nonnegative tensor factorization models ta…

stat.ML2024

The AL $ℓ_{0}$ CORE Tensor Decomposition for Sparse Count Data

John Hood, Aaron Schein

This paper introduces AL $ℓ_{0}$ CORE, a new form of probabilistic non-negative tensor decomposition. AL $ℓ_{0}$ CORE is a Tucker decomposition where the number of non-zero elements…

Near-Universal Multiplicative Updates for Nonnegative Einsum Factorization

The ALℓ0​CORE Tensor Decomposition for Sparse Count Data

The AL $ℓ_{0}$ CORE Tensor Decomposition for Sparse Count Data