Variance reduction in feature hashing using MLE and control variate method
type: Item
instance of: scholarly article
title: Variance reduction in feature hashing using MLE and control variate method
author: Bhisham Dev Verma
author: Rameshwar Pratap
author: Manoj Thakur
published in: Machine Learning
publication date: 2022-11-28T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 7624251
zbMATH Keywords: dimensionality reduction
zbMATH Keywords: variance reduction
zbMATH Keywords: control variate
zbMATH Keywords: maximum likelihood estimator
zbMATH Keywords: sketching
describes a project that uses: PMTK
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: s10994-022-06166-z
OpenAlex ID: W4225263074
cites work: Database-friendly random projections: Johnson-Lindenstrauss with binary coins.
cites work: Q2934025
cites work: Some Problems in the Theory of Dynamic Programming
cites work: Q4542551
cites work: Q4877182
cites work: Similarity estimation techniques from rounding algorithms
cites work: A sparse Johnson-Lindenstrauss transform
cites work: An elementary proof of a theorem of Johnson and Lindenstrauss
cites work: Q5538132
cites work: Stable distributions, pseudorandom generators, embeddings, and data stream computation
cites work: Extensions of Lipschitz mappings into a Hilbert space
cites work: A Perspective on the Use of Control Variables to Increase the Efficiency of Monte Carlo Simulations
cites work: Q3579462
cites work: Improving Random Projections Using Marginal Information
cites work: Machine learning. A probabilistic perspective
cites work: Q4004320
DOI: 10.1007/S10994-022-06166-Z
description: scientific article; zbMATH DE number 7624251