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.

168,742 papers · 148 categories

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5 results for “kernel-free”

Efficient Data Analytics on Augmented Similarity Tripletscs.LG

Efficiently augments triplet data for better data analytics.

problem Lack of direct pairwise distance information for data analysis.

method Triplets augmentation to infer hidden information from existing data.

result Improves quality of kernel-based and kernel-free data analytics.

data analytics triplets augmentation kernel-based kernel-free

2019-12-27abs ↗pdf ↗

An Analysis of the Convergence of Graph Laplaciansstat.ML

Existing approaches to analyzing the asymptotics of graph Laplacians typically assume a well-behaved kernel function with smoothness assumptions. We remove the smoothness assumption and generalize the analysis of graph Laplacians to include previously unstudied graphs including kNN graphs. We also introduce a kernel-fr…

2011-01-28abs ↗pdf ↗

Effective finite generation for [IA_n,IA_n] and the Johnson kernelmath.GR

The paper constructs finite generating sets for complex algebraic structures.

problem Finite generation of specific algebraic structures.

method Explicit construction of finite generating sets for

γ_2 IA_n

and

γ_2\mathcal I_n^b

result Explicit finite generating sets for

γ_2 IA_n

and almost explicit for

γ_2\mathcal I_n^b

finite generation algebraic structures lower central series Johnson kernel free groups

2020-10-19abs ↗pdf ↗

L0-Regularized Quadratic Surface Support Vector Machinescs.LG

Proposes sparse QSVM for better generalization and interpretability.

problem Overfitting and difficulty in interpreting full quadratic classifiers.

method Enforces

\ell_0

-norm constraint to promote sparsity and develops a penalty decomposition algorithm.

result The proposed model enhances generalization and produces sparse solutions.

QSVM Quadratic Support Vector Machines L0-norm Sparsity Overfitting

2025-01-20abs ↗pdf ↗

Random Controlled Differential Equationscs.LG

Framework combines random features with CDEs for efficient time-series learning.

problem Efficient training of time-series models with strong inductive bias.

method Random Fourier CDEs and Random Rough DEs using continuous-time reservoirs and log-ODE discretization.

result Unified perspective on random-feature reservoirs and path-signature theory.

time-series learning random features controlled differential equations reservoir computing signature theory

2025-12-29abs ↗pdf ↗