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Approximate Solomonoff Induction: On the Robustness of Learned Universal Predictors

arXiv:2610.29289v1 Announce Type: cross Abstract: Why large language models trained via log-loss minimization over massive and diverse datasets exhibit broad capabilities and generalizable skills is not yet fully understood. Grau-Moya et al. (ICML 2024) offer a conceptual explanation through the le…

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  1. 2026-10-22 04:00 · arXiv stat.ML
    Approximate Solomonoff Induction: On the Robustness of Learned Universal Predictors

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