Alex Cloninger

2 accepted papers

2026

Generalization Below the Edge of Stability: The Role of Data Geometry

Tongtong Liang, Alex Cloninger, Rahul Parhi, Yu-Xiang Wang

ICLR 2026poster

Understanding generalization in overparameterized neural networks hinges on the interplay between the data geometry, neural architecture, and training dynamics. In this paper, we theoretically explore how data geometry controls this implicit bias. This paper presents theoretical results for overpara…

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2025

KAIROS: Scalable Model-Agnostic Data Valuation

Jiongli Zhu, Parjanya Prajakta Prashant, Alex Cloninger, Babak Salimi

NeurIPS 2025poster

Data valuation techniques quantify each training example's contribution to model performance, providing a principled basis for data cleaning, acquisition, and selection. Existing valuation methods remain inadequate: \emph{model-based} techniques depend on a single fitted model and inherit its biases…

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