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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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5 results for “Libra”

iCurrency?q-fin.GN

The paper discusses iCurrency concept and Libra's potential as a contender.

problem Analyzing Libra's potential as a contender for iCurrency.

method Analyzed Libra proposal, discussed monetary policy issues.

result Libra faces challenges in maintaining exchange rate stability.

iCurrency Libra cryptocurrency stability volatility

2019-10-28abs ↗pdf ↗

Libra: Fair Order-Matching for Electronic Financial Exchangescs.CR

Libra ensures fair order-matching in electronic financial exchanges.

problem Technical shortcomings and infrastructure complexities in electronic trading.

method Formally defined temporal fairness, evaluated existing fair market designs, introduced Libra.

result Libra is more robust and resilient to technical manipulation than existing designs.

fair order-matching electronic financial exchanges temporal fairness market design technical inefficiencies

2019-10-01abs ↗pdf ↗

Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimizationcs.LG

This paper introduces Libra to analyze and optimize generalization in Federated Learning.

problem Inconsistent local optima in Federated Learning lead to poor generalization performance.

method Introduces Libra, a generalization dynamics analysis framework for algorithm-dependent excess risk minimization.

result Libra highlights the trade-offs between model stability and gradient norms in Federated Learning.

Federated Learning Generalization Model Stability Gradient Norms Excess Risk

2024-11-25abs ↗pdf ↗

Recognizing Static Signs from the Brazilian Sign Language: Comparing Large-Margin Decision Directed Acyclic Graphs, Voting Support Vector Machines and Artificial Neural Networkscs.CV

In this paper, we explore and detail our experiments in a high-dimensionality, multi-class image classification problem often found in the automatic recognition of Sign Languages. Here, our efforts are directed towards comparing the characteristics, advantages and drawbacks of creating and training Support Vector Machi…

2012-10-28abs ↗pdf ↗

Performance Evaluation of t-SNE and MDS Dimensionality Reduction Techniques with KNN, ENN and SVM Classifierscs.LG

This paper evaluates t-SNE and MDS for reducing dimensions in datasets and classifying them with KNN, ENN, and SVM.

problem Reducing dimensions in datasets for better classification performance.

method t-SNE and MDS applied to nine datasets, followed by KNN, ENN, and SVM classification.

result Performance comparison of t-SNE and MDS with KNN, ENN, and SVM.

dimensionality reduction t-SNE MDS KNN ENN

2020-06-20abs ↗pdf ↗