Research
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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.

168,657 papers · 148 categories

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0111 · Jul 202019922001200920172026
5 results for “L^p-improving”
Robust and Accurate Authorship Attribution via Program Normalizationcs.LG

Improves authorship attribution accuracy and robustness against adversarial attacks.

problem Vulnerability of authorship attribution approaches to adversarial attacks.
method Formulated a relational adversary threat model and presented a novel learning framework, normalize-and-predict (N&P).
result Improves accuracy on adversarial inputs by up to 70% and robust accuracy by 45%.
authorship attributionadversarial attacksrobustnessdeep learningprogram normalization
2020-07-01abs ↗pdf ↗
MARINA-P: Superior Performance in Non-smooth Federated Optimization with Adaptive Stepsizescs.LG

MARINA-P improves non-smooth federated optimization with adaptive stepsizes.

problem Non-smooth federated optimization in machine learning applications.
method Extends EF21-P and MARINA-P to non-smooth convex setting, proving optimal convergence rate and communication complexity bounds.
result MARINA-P achieves O(1/T)O(1/\sqrt{T}) convergence rate and communication complexity matching classical subgradient methods.
federated learningnon-smooth optimizationadaptive stepsizescommunication efficiencyconvergence rate
2024-12-22abs ↗pdf ↗