About
Discord Stateoftheart AI
GitHub

Publications

177

Cited by

39892

Olivier Chapelle

machine learning
Yahoo!

United States

Papers and Citations

1 - 50
Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews]
2009
Olivier Chapelle
B Scholkopf
A Zien
Cited by 5870
Semi-supervised learning
2006
Olivier Chapelle
Bernhard Schölkopf
A Zien
Cited by 5298
Choosing multiple parameters for support vector machines
2002
Sayan Mukherjee
Olivier Chapelle
Olivier Bousquet
+1
Cited by 3099
Support vector machines for histogram-based image classification
1999
Olivier Chapelle
Patrick Haffner
VN Vapnik
Cited by 1947
Feature selection for SVMs
2001
Jason Weston
Olivier Chapelle
Massimiliano Pontil
+3
Cited by 1353
An empirical evaluation of thompson sampling
2011
Olivier Chapelle
L Li
Cited by 954
Semi-supervised classification by low density separation.
2005
Olivier Chapelle
A Zien
Cited by 893
Training a support vector machine in the primal
2007
Olivier Chapelle
Cited by 887
Expected reciprocal rank for graded relevance
2009
Donald Metzler
Olivier Chapelle
P Grinspan
+1
Cited by 764
Bounds on error expectation for support vector machines
2000
Olivier Chapelle
V Vapnik
Cited by 696
Cluster kernels for semi-supervised learning
2003
Olivier Chapelle
Bernhard Schölkopf
Jason Weston
Cited by 604
A dynamic bayesian network click model for web search ranking
2009
Olivier Chapelle
Y Zhang
Cited by 512
Yahoo! learning to rank challenge overview
2011
Yi Chang
Olivier Chapelle
Cited by 491
Optimization techniques for semi-supervised support vector machines
2008
Olivier Chapelle
Vikas Sindhwani
SS Keerthi
Cited by 463
Model selection for support vector machines
2000
Olivier Chapelle
V Vapnik
Cited by 453
Feature selection for support vector machines using genetic algorithms
2004
Bernhard Schölkopf
Olivier Chapelle
Holger Fröhlich
Cited by 421
Feature selection for support vector machines by means of genetic algorithm
2003
Olivier Chapelle
Bernhard Schölkopf
Holger Fröhlich
+2
Cited by 413
The 2005 pascal visual object classes challenge
2005
Ilkay Ulusoy
Bill Triggs
Christophe Garcia
+30
Cited by 383
A Reliable Effective Terascale Linear Learning System
2011
Miroslav Dudik
John Langford
Alekh Agarwal
+1
Cited by 361
Building support vector machines with reduced classifier complexity
2006
Olivier Chapelle
Dennis DeCoste
SS Keerthi
Cited by 354
Spectral Methods for Dimensionality Reduction
2006
Olivier Chapelle
Bernhard Schölkopf
A Zien
Cited by 298
Efficient algorithms for ranking with SVMs
2010
Olivier Chapelle
SS Keerthi
Cited by 289
Simple and scalable response prediction for display advertising
2014
Romer Rosales
Olivier Chapelle
E Manavoglu
Cited by 276
Embedded methods
2006
Olivier Chapelle
Andre Elisseeff
Jason Weston
+1
Cited by 238
A general boosting method and its application to learning ranking functions for web search
2007
Tong Zhang
H Zha
Olivier Chapelle
+3
Cited by 224
Kernel dependency estimation
2003
Andre Elisseeff
Vladimir Vapnik
Olivier Chapelle
+3
Cited by 212
A continuation method for semi-supervised SVMs
2006
Mingmin Chi
Olivier Chapelle
A Zien
Cited by 204
An efficient method for gradient-based adaptation of hyperparameters in SVM models
2007
Vikas Sindhwani
Olivier Chapelle
S Keerthi
Cited by 167
Large-scale validation and analysis of interleaved search evaluation
2012
Filip Radlinski
Thorsten Joachims
Olivier Chapelle
+1
Cited by 165
Branch and bound for semi-supervised support vector machines
2007
Vikas Sindhwani
Olivier Chapelle
SS Keerthi
Cited by 164
Gradient descent optimization of smoothed information retrieval metrics
2010
Olivier Chapelle
M Wu
Cited by 158
Deterministic annealing for semi-supervised kernel machines
2006
Olivier Chapelle
Vikas Sindhwani
SS Keerthi
Cited by 151
Web spam identification through content and hyperlinks
2008
Jacob Abernethy
Olivier Chapelle
Carlos Castillo
Cited by 148
Optimization of ranking measures
2010
Olivier Chapelle
Choon Hui Teo
Alex Smola
+1
Cited by 143
Measure based regularization
2004
Matthias Hein
Olivier Bousquet
Olivier Chapelle
Cited by 139
Learning to rank with (a lot of) word features
2010
Kilian Weinberger
David Grangier
Yanjun Qi
+5
Cited by 131
Feature selection and transduction for prediction of molecular bioactivity for drug design
2003
Olivier Chapelle
Bernhard Schölkopf
Jason Weston
+3
Cited by 129
Early exit optimizations for additive machine learned ranking systems
2010
Olivier Chapelle
Berkant Barla Cambazoglu
Ciya Liao
+4
Cited by 127
Deterministic annealing for multiple-instance learning
2006
Peter Gehler
Olivier Chapelle
Cited by 117
The greedy miser: Learning under test-time budgets
2012
Olivier Chapelle
Kilian Weinberger
Z Xu
Cited by 116
Active learning for ranking through expected loss optimization
2014
Bo Long
Olivier Chapelle
Jiang Bian
+3
Cited by 115
Intent-based diversification of web search results: metrics and algorithms
2011
Olivier Chapelle
E Velipasaoglu
C Liao
+3
Cited by 113
Vicinal risk minimization
2001
Leon Bottou
Olivier Chapelle
Jason Weston
+1
Cited by 111
Model selection for small sample regression
2002
V Vapnik
Olivier Chapelle
Yoshua Bengio
Cited by 110
Multi-task learning for boosting with application to web search ranking
2010
Belle Tseng
Olivier Chapelle
Kilian Weinberger
+3
Cited by 107
Supervised semantic indexing
2009
Yanjun Qi
David Grangier
Ronan Collobert
+5
Cited by 106
Modeling delayed feedback in display advertising
2014
Olivier Chapelle
Cited by 94
Incorporating invariances in non-linear support vector machines
2002
Bernhard Schölkopf
Olivier Chapelle
Cited by 87
Boosted multi-task learning
2011
Belle Tseng
Kilian Weinberger
Olivier Chapelle
+3
Cited by 87
Transductive inference for estimating values of functions
2000
Jason Weston
Olivier Chapelle
V Vapnik
Cited by 86