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cs.LG2026
Identifiability and Order-Dimension Limits of In-Context Learning on Partial Orders
Faizanuddin Ansari, Debanjan Dutta, Swagatam Das
In-context learning is commonly formalized as inference from examples of a function. Partial orders instead combine transitivity, antisymmetry, and incomparability, so a finite pro…
cs.LG2026
Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds
Swagatam Das, Vaclav Snasel
Many geometric statistics and manifold learning pipelines routinely produce observations -- such as tangent vectors or local frames -- whose natural home is a varying family of fib…