Variational Optimization

Updating quasi-newton matrices with limited storage

J. Nocedal · 1980

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Chapter VII Nondifferentiable optimization

C. Lemaréchal · 1989

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Support-vector networks

C. Cortes and V. Vapnik · 1995

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Removing the Genetics from the Standard Genetic Algorithm

S. Baluja and R. Caruana · 1995

Earlier work this paper cites.

Regression Shrinkage and Selection via the Lasso

R. Tibshirani · 1996

Earlier work this paper cites.

From Recombination of Genes to Estimation of Distributions

H. Mühlenbein and G. Paaß · 1996

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Stochastic Hill Climbing with Learning by Vectors of Normal Distributions

Original

S. Rudlof and M. Köppen · 1997

Earlier work this paper cites.

Penalized regressions: The bridge versus the lasso

W. J. Fu · 1998

Cited alongside, same era.

Using sparseness and analytic QP to speed training of support vector machines

J. Platt · 1999

Cited alongside, same era.

Selection and Reinforcement Learning for Combinatorial Optimization

A. Berny · 2000

Cited alongside, same era.

Statistical machine learning and combinatorial optimization

A. Berny · 2001

Cited alongside, same era.

Estimation of Distribution Algorithms: A new tool for evolutionary computation

P. Larrañaga and J. A. Lozano, editors · 2002

Cited alongside, same era.

Introductory Lectures on Convex Optimization: A Basic Course

Y. Nesterov · 2003

Cited alongside, same era.

Working set selection using the second order information for training support vector machines

R. E. Fan, P. H. Chen, and C. J. Lin · 2005

Later among the works it cites.

Population-based continuous optimization, probabilistic modelling and mean shift

M. Gallagher and M. Frean · 2005

Later among the works it cites.

Pathwise Coordinate Optimization

J. Friedman, H. Hastie, H. Höfling, and R. Tibshirani · 2007

Later among the works it cites.

Training a support vector machine in the primal

O. Chapelle · 2007

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Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models

E. Challis and D. Barber · 2011

Later among the works it cites.

SLEP: Sparse Learning with Efficient Projections

J. Liu, S. Ji, and J. Ye · 2011

Later among the works it cites.