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Alexander Cloninger

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#machine learning Preprint Sep 2026

Transformers as Cross-Task Learners: Shared Structure Drives Sample Efficiency in In-Context Learning

This work characterize task-space complexity through covering numbers under a prescribed metric, thereby quantifying the low-dimensional cross-task structure without requiring an explicit parametric representation and explicitly construct a Transformer that exploits their low-dimensional structure to perform ICL.

Zhong-Jie Shi, Rong-Jie Lai, Alexander Cloninger et al. · 1 citation
#machine learning Preprint Sep 2026

Riemannian ascent--descent for nonconvex nonconcave minimax landscapes: convergence to basin saddle points and applications to distributionally robust optimization

It is proved that an alternating Riemannian gradient scheme converges to a basin saddle point of the penalized DRO problem, recovering the linear and polynomial rates of the abstract theory with all constants explicit in terms of data dimension, loss moments, and the reference covariance.

Rishabh Dixit, Pranav Upadrashta, Alexander Cloninger · 0 citations
Preprint Jul 2026

Scalable Graph Coreset Selection via Greedy Sampling

This work proposes a simple and effective column-selective graph sampling algorithm based on a minimum inner product greedy selection rule, well-suited for large-scale graphs where the full Laplacian cannot be stored in memory.

Zhaiming Shen, Alexander Cloninger · 0 citations

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