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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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3 results for “moment-ratio”

A novel hybrid approach for positive-valued DAG learningstat.ML

A novel method for learning DAGs from positive-valued data.

problem Causal discovery from observational data of positive-valued variables.

method Hybrid Moment-Ratio Scoring (H-MRS) algorithm combining moment-based scoring and log-scale regression.

result H-MRS integrates log-scale Ridge regression for moment-ratio estimation with a greedy ordering procedure based on raw-scale moment ratios, followed by Elastic Net-based parent selection.

causal discovery positive-valued data log-linear data moment-ratio log-scale regression

2026-04-10abs ↗pdf ↗

A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testingmath.ST

High-dimensional U-statistics show surprising phase transitions, impacting kernel-based tests.

problem Understanding phase transitions in high-dimensional U-statistics.

method Proved a convergence theorem for U-statistics of degree two in high dimensions.

result High-dimensional U-statistics can have non-Gaussian limits with larger variance and asymmetry.

U-statistics high-dimensional phase transitions kernel-based tests MMD

2023-02-11abs ↗pdf ↗

Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Timecs.LG

Polynomial-time algorithm learns high-dimensional halfspaces without labels.

problem Learning high-dimensional halfspaces with margins in polynomial time.

method Contrastive moments and polynomial-time algorithm.

result Establishes the unique and efficient identifiability of the hidden halfspace.

polynomial-time algorithm high-dimensional halfspaces unsupervised learning logconcave distributions Total Variation distance

2023-11-02abs ↗pdf ↗