Author

S. Kakade

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#machine learning Preprint Sep 2026

Blackboard Intelligence Can Surpass Autoregressive on Globally Constrained Problems

Next-token prediction has driven remarkable progress in large language models, yet a growing body of evidence suggests that they can struggle on problems governed by complex global constraints. In this work, we focus on this regime and ask whether some of these limitations arise from the inference interface induced by...

Woosang Jeon, Jaeyeon Kim, S. Kakade et al. · 0 citations

Jul 2026

A Defense of the Quadratic Model

Due to the complexity of neural network loss landscapes, optimization theory is forced to rely on idealized models, and there is generally a tradeoff between how theoretically tractable the model is, and how accurately it describes the true optimization dynamics. In this work, we stress test the simplest possible model...

Alexandru Meterez, Pranav Ajit Nair, Depen Morwani et al. · arXiv.org · 3 citations