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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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2 results for “tetrachotomy”

A Theory of Universal Agnostic Learningcs.LG

Theory extends optimal learning rates without realizability assumption.

problem Agnostic binary classification without realizability assumption.

method Identifies tetrachotomy of optimal rates and combinatorial structures.

result Optimal universal rates for binary classification in agnostic setting.

agnostic learning universal rates tetrachotomy optimal convergence realizability assumption

2026-01-28abs ↗pdf ↗

Universal Rates of Empirical Risk Minimizationstat.ML

Paper explores universal rates of ERM in machine learning.

problem Understanding universal learning rates for ERM.

method Analyzes realizable concept classes and ERM principles.

result Four possible universal learning rates by ERM.

Empirical Risk Minimization Learning Curves Universal Rates Realizable Concept Classes Complexity Structures

2024-12-03abs ↗pdf ↗