Skip to search formSkip to main contentSkip to account menu

Variance reduction

Known as: Reduction 
In mathematics, more specifically in the theory of Monte Carlo methods, variance reduction is a procedure used to increase the precision of the… 
Wikipedia (opens in a new tab)

Related topics

Related topics

10 relations
Antithetic variatesControl variatesImportance samplingList of numerical analysis topics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Variance reduction via empirical variance minimization: convergence and complexity
In this paper we propose and study a generic variance reduction approach. The proposed method is based on minimization of the… 
2016
2016
Katyusha: The First Truly Accelerated Stochastic Gradient Method
We introduce $\mathtt{Katyusha}$, the first direct stochastic gradient method that has an accelerated convergence rate. Given an… 
2015
2015
Iterative Refinement of Approximate Posterior for Training Directed Belief Networks
Recent advances in variational inference that make use of an inference or recognition network for training and evaluating deep… 
2011
2011
Log-normal Kalman filter for assimilating 1 phase-space density data in the radiation belts
Department of Atmospheric and Oceanic Sciences and Institute of Geophysics and Planetary Physics, University of California, Los… 
2007
2007
Ultrafast Monte Carlo for Statistical Summations
Machine learning contains many computational bottlenecks in the form of nested summations over datasets. Computation of these… 
2006
2006
MECHANICS OF ICE COMPRESSIVE FAILURE , PROBABILISTIC AVERAGING AND DESIGN LOAD ESTIMATION
Compressive ice failure is an important aspect in the design of offshore structures in ice environments. The authors concentrate… 
2003
2003
Non-Linear Variance Reduction Techniques in Biometric Authentication
In this paper, several approaches that can be used to improve biometric authentication applications are proposed. The idea is… 
2002
2002
Cycle to Cycle Manufacturing Process Control
Most manufacturing processes produce parts that can only be correctly measured after the process cycle has been completed. Even… 
2000
2000
Three-Dimensional a Priori Model Constraints and Uncertainties for Improving Seismic Location
Abstract : Accurate seismic event location is key to monitoring the Comprehensive Nuclear-Test-Ban Treaty (CTBT) and is largely… 
2000
2000
Combining Multiple Classifiers to Improve Part of Speech Tagging : A Case Study for Brazilian Portuguese
Four taggers have been trained on a 100,000-word corpus of Brazilian Portuguese, namely Unigram (Treetagger), N-gram (Treetagger… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)