A scalable modular convex solver for regularized risk minimization

Regression Shrinkage and Selection Via the Lasso

1996 • 45,633 citations

LIBSVM

2011 • 40,614 citations

Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data

2001 • 12,824 citations

STATISTICS FOR SPATIAL DATA

1992 • 9,035 citations

Libsvm : A library for support vector machines

2008 • 8,632 citations

Decoding by Linear Programming

2005 • 7,139 citations

Advances in kernel methods: support vector learning

1999 • 5,756 citations

A Limited Memory Algorithm for Bound Constrained Optimization

1995 • 5,421 citations

Estimating the Support of a High-Dimensional Distribution

2001 • 5,344 citations

Statistics for Spatial Data.

1993 • 5,338 citations

Making large scale SVM learning practical

1999 • 4,389 citations

Convex analysis and minimization algorithms

1993 • 2,552 citations

Support Vector Method for Function Approximation, Regression Estimation and Signal Processing

1996 • 2,527 citations

PETSc Users Manual

2019 • 2,063 citations

Large Margin Methods for Structured and Interdependent Output Variables

2005 • 2,005 citations

Training linear SVMs in linear time

2006 • 1,981 citations

Probabilistic Networks and Expert Systems

1999 • 1,804 citations

Multivariate Statistical Modelling Based on Generalized Linear Models

1994 • 1,422 citations

Max-Margin Markov Networks

2003 • 1,304 citations

Map-Reduce for Machine Learning on Multicore

2007 • 1,277 citations

Shallow parsing with conditional random fields

2003 • 1,273 citations

Cambridge University Press

2021 • 1,268 citations

Information and Exponential Families in Statistical Theory.

1979 • 1,254 citations

Convex Analysis and Minimization Algorithms I

1993 • 1,124 citations

Large Margin Rank Boundaries for Ordinal Regression

2000 • 1,102 citations

Predicting time series with support vector machines

1997 • 940 citations

Tools for privacy preserving distributed data mining

2002 • 911 citations

A support vector method for multivariate performance measures

2005 • 818 citations

Training a Support Vector Machine in the Primal

2007 • 777 citations

Robust linear programming discrimination of two linearly inseparable sets

1992 • 762 citations

Untitled

2002 • 664 citations

Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond

1998 • 633 citations

Efficient svm training using low-rank kernel representations

2002 • 610 citations

Predicting Structured Data

2007 • 522 citations

Information and Exponential Families in Statistical Theory

1980 • 507 citations

Hierarchical document categorization with support vector machines

2004 • 381 citations

Nonparametric Quantile Estimation

2006 • 379 citations

Linear and Nonlinear Separation of Patterns by Linear Programming

1965 • 333 citations

Fast Kernels for String and Tree Matching

2004 • 299 citations

A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs

2005 • 274 citations

Large scale semi-supervised linear SVMs

2006 • 236 citations

Linear Hinge Loss and Average Margin

1998 • 117 citations

Predicting Structured Data (Neural Information Processing)

2007 • 107 citations

Direct Optimization of Ranking Measures

2007 • 97 citations

Large Margin Methods for Structured and Interdependent Output Variables

2005 • 61 citations

Online Learning Meets Optimization in the Dual

2006 • 51 citations

Online Ranking by Projecting

2004 • 47 citations