On-device research index

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.

168,695 papers · 148 categories

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4 results for “D_K-distance”

Interval-Valued Time Series Classification Using

D_K

-Distancestat.ML

Paper introduces a new method for classifying interval-valued time series.

problem Classification of interval-valued time series.

method Extends point-valued time series imaging methods to interval-valued scenarios using

D_K

-distance and employs deep learning for classification.

result Proposed method achieves superior classification performance compared to existing methods.

interval-valued time series classification D_K-distance deep learning excess risk bound

2025-04-07abs ↗pdf ↗

Bagged

k

-Distance for Mode-Based Clustering Using the Probability of Localized Level Setsstat.ML

BDMBC clusters data with varying densities using a new PLLS measure.

problem Finding clusters with varying densities in data.

method Bagged

k

-distance with PLLS for mode estimation.

result BDMBC achieves optimal convergence rates for mode and level set estimation.

clustering mode estimation level sets ensemble learning varying densities

2022-10-18abs ↗pdf ↗

Bagged Regularized

k

-Distances for Anomaly Detectionstat.ML

BRDAD uses bagging and regularization to improve anomaly detection without labeled data.

problem Anomaly detection in unlabeled data with sensitivity to

k

-nearest neighbors.

method Bagged regularized

k

-distances (BRDAD) for anomaly detection, converting to convex optimization.

result BRDAD addresses sensitivity to hyperparameter choice and improves performance on large datasets.

anomaly detection unsupervised learning distance-based methods bagging regularization

2023-12-02abs ↗pdf ↗

Testing Closeness of Multivariate Distributions via Ramsey Theorycs.DS

The paper develops a new method to test if two multidimensional distributions are equivalent or significantly different.

problem Testing equivalence of multidimensional distributions with sub-linear sample complexity.

method Uses generalized A_k distance and Ramsey theory to develop a computationally efficient closeness tester.

result First sub-linear sample complexity closeness tester for multidimensional distributions.

multivariate distributions closeness testing Ramsey theory sub-linear sample complexity

2023-11-22abs ↗pdf ↗