Olivier Chapelle

80 papers A* 12A 8B 2Journal 25Unranked 26
YearRankTypeTitle / Venue / Authors
2017 — conf
Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions.
ADKDD@KDD
Flavian Vasile, Damien Lefortier, Olivier Chapelle
2017 — conf
Field-aware Factorization Machines in a Real-world Online Advertising System.
WWW (Companion Volume)
Yuchin Juan, Damien Lefortier, Olivier Chapelle
2017 J jnl
Field-aware Factorization Machines in a Real-world Online Advertising System.
CoRR
Yuchin Juan, Damien Lefortier, Olivier Chapelle
2015 J jnl
Active Learning for Ranking through Expected Loss Optimization.
IEEE Trans. Knowl. Data Eng.
Bo Long, Jiang Bian, Olivier Chapelle, Ya Zhang, Yoshiyuki Inagaki, Yi Chang
2015 — conf
Offline Evaluation of Response Prediction in Online Advertising Auctions.
WWW (Companion Volume)
Olivier Chapelle
2014 J jnl
A reliable effective terascale linear learning system.
J. Mach. Learn. Res.
Alekh Agarwal, Olivier Chapelle, Miroslav Dudík, John Langford
2014 J jnl
Classifier cascades and trees for minimizing feature evaluation cost.
J. Mach. Learn. Res.
Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen, Olivier Chapelle
2014 A* conf
Modeling delayed feedback in display advertising.
KDD
Olivier Chapelle
2014 J jnl
Simple and Scalable Response Prediction for Display Advertising.
ACM Trans. Intell. Syst. Technol.
Olivier Chapelle, Eren Manavoglu, Rómer Rosales
2012 A conf
Classifier Cascade for Minimizing Feature Evaluation Cost.
AISTATS
Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle, Dor Kedem
2012 A conf
Deterministic Annealing for Semi-Supervised Structured Output Learning.
AISTATS
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Bellare, Olivier Chapelle, Sundararajan Sellamanickam
2012 J jnl
Distance Metric Learning for Kernel Machines
CoRR
Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle
2012 J jnl
Large-scale validation and analysis of interleaved search evaluation.
ACM Trans. Inf. Syst.
Olivier Chapelle, Thorsten Joachims, Filip Radlinski, Yisong Yue
2012 A* conf
Learning to suggest: a machine learning framework for ranking query suggestions.
SIGIR
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre Velipasaoglu
2012 A* conf
Open Problem: Regret Bounds for Thompson Sampling.
COLT
Lihong Li, Olivier Chapelle
2012 A* conf
The Greedy Miser: Learning under Test-time Budgets.
ICML
Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle
2011 J jnl
A Reliable Effective Terascale Linear Learning System
CoRR
Alekh Agarwal, Olivier Chapelle, Miroslav Dudík, John Langford
2011 — conf
An Empirical Evaluation of Thompson Sampling.
NIPS
Olivier Chapelle, Lihong Li
2011 J jnl
Boosted multi-task learning.
Mach. Learn.
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng
2011 — conf
Future directions in learning to rank.
Yahoo! Learning to Rank Challenge
Olivier Chapelle, Yi Chang, Tie-Yan Liu
2011 J jnl
Intent-based diversification of web search results: metrics and algorithms.
Inf. Retr.
Olivier Chapelle, Shihao Ji, Ciya Liao, Emre Velipasaoglu, Larry Lai, Su-Lin Wu
2011 — ed.
Proceedings of the Yahoo! Learning to Rank Challenge, held at ICML 2010, Haifa, Israel, June 25, 2010
Yahoo! Learning to Rank Challenge
Olivier Chapelle, Yi Chang, Tie-Yan Liu
2011 — conf
Yahoo! Learning to Rank Challenge Overview.
Yahoo! Learning to Rank Challenge
Olivier Chapelle, Yi Chang
2010 A* conf
Active learning for ranking through expected loss optimization.
SIGIR
Bo Long, Olivier Chapelle, Ya Zhang, Yi Chang, Zhaohui Zheng, Belle L. Tseng
2010 A conf
Early exit optimizations for additive machine learned ranking systems.
WSDM
Berkant Barla Cambazoglu, Hugo Zaragoza, Olivier Chapelle, Jiang Chen, Ciya Liao, Zhaohui Zheng, Jon Degenhardt
2010 J jnl
Efficient algorithms for ranking with SVMs.
Inf. Retr.
Olivier Chapelle, S. Sathiya Keerthi
2010 J jnl
Gradient descent optimization of smoothed information retrieval metrics.
Inf. Retr.
Olivier Chapelle, Mingrui Wu
2010 J jnl
Graph regularization methods for Web spam detection.
Mach. Learn.
Jacob D. Abernethy, Olivier Chapelle, Carlos Castillo
2010 A* conf
Learning more powerful test statistics for click-based retrieval evaluation.
SIGIR
Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, Thorsten Joachims
2010 J jnl
Learning to rank with (a lot of) word features.
Inf. Retr.
Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger
2010 A* conf
Multi-task learning for boosting with application to web search ranking.
KDD
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng
2009 A* conf
A dynamic bayesian network click model for web search ranking.
WWW
Olivier Chapelle, Ya Zhang
2009 A conf
Expected reciprocal rank for graded relevance.
CIKM
Olivier Chapelle, Donald Metlzer, Ya Zhang, Pierre Grinspan
2009 A* conf
Global ranking by exploiting user clicks.
SIGIR
Shihao Ji, Ke Zhou, Ciya Liao, Zhaohui Zheng, Gui-Rong Xue, Olivier Chapelle, Gordon Sun, Hongyuan Zha
2009 A conf
Supervised semantic indexing.
CIKM
Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger
2008 J jnl
Beyond binary relevance: preferences, diversity, and set-level judgments.
SIGIR Forum
Paul N. Bennett, Ben Carterette, Olivier Chapelle, Thorsten Joachims
2008 — conf
Large Margin Taxonomy Embedding for Document Categorization.
NIPS
Kilian Q. Weinberger, Olivier Chapelle
2008 J jnl
Optimization Techniques for Semi-Supervised Support Vector Machines.
J. Mach. Learn. Res.
Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi
2008 — conf
Tighter Bounds for Structured Estimation.
NIPS
Olivier Chapelle, Chuong B. Do, Quoc V. Le, Alexander J. Smola, Choon Hui Teo
2008 — conf
Web spam identification through content and hyperlinks.
AIRWeb
Jacob D. Abernethy, Olivier Chapelle, Carlos Castillo
2007 — conf
A General Boosting Method and its Application to Learning Ranking Functions for Web Search.
NIPS
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen, Gordon Sun
2007 — conf
An Analysis of Inference with the Universum.
NIPS
Fabian H. Sinz, Olivier Chapelle, Alekh Agarwal, Bernhard Schölkopf
2007 A conf
Deterministic Annealing for Multiple-Instance Learning.
AISTATS
Peter V. Gehler, Olivier Chapelle
2007 — conf
Learning with Transformation Invariant Kernels.
NIPS
Christian Walder, Olivier Chapelle
2007 J jnl
Training a Support Vector Machine in the Primal.
Neural Comput.
Olivier Chapelle
2006 — ch.
A Discussion of Semi-Supervised Learning and Transduction.
Semi-Supervised Learning
Olivier Chapelle, Bernhard Schölkopf, Alexander Zien
2006 A* conf
A continuation method for semi-supervised SVMs.
ICML
Olivier Chapelle, Mingmin Chi, Alexander Zien
2006 — conf
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models.
NIPS
S. Sathiya Keerthi, Vikas Sindhwani, Olivier Chapelle
2006 — ch.
Analysis of Benchmarks.
Semi-Supervised Learning
Olivier Chapelle, Bernhard Schölkopf, Alexander Zien
2006 — conf
Branch and Bound for Semi-Supervised Support Vector Machines.
NIPS
Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi
2006 J jnl
Building Support Vector Machines with Reduced Classifier Complexity.
J. Mach. Learn. Res.
S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste
2006 — ch.
Combining a Filter Method with SVMs.
Feature Extraction
Thomas Navin Lal, Olivier Chapelle, Bernhard Schölkopf
2006 A* conf
Deterministic annealing for semi-supervised kernel machines.
ICML
Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chapelle
2006 — ch.
Embedded Methods.
Feature Extraction
Thomas Navin Lal, Olivier Chapelle, Jason Weston, André Elisseeff
2006 J jnl
Implicit Surface Modelling with a Globally Regularised Basis of Compact Support.
Comput. Graph. Forum
Christian Walder, Bernhard Schölkopf, Olivier Chapelle
2006 — conf
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions.
NIPS
Christian Walder, Bernhard Schölkopf, Olivier Chapelle
2006 — ch.
Introduction to Semi-Supervised Learning.
Semi-Supervised Learning
Olivier Chapelle, Bernhard Schölkopf, Alexander Zien
2006 — book
Semi-Supervised Learning
Olivier Chapelle, Bernhard Schölkopf, Alexander Zien
2005 A conf
Active Learning for Parzen Window Classifier.
AISTATS
Olivier Chapelle
2005 B conf
An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron.
ALT
Adam Kowalczyk, Olivier Chapelle
2005 — conf
Estimating Predictive Variances with Kernel Ridge Regression.
MLCW
Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chapelle
2005 A* conf
Implicit surface modelling as an eigenvalue problem.
ICML
Christian Walder, Olivier Chapelle, Bernhard Schölkopf
2005 A conf
Semi-Supervised Classification by Low Density Separation.
AISTATS
Olivier Chapelle, Alexander Zien
2005 — conf
The 2005 PASCAL Visual Object Classes Challenge.
MLCW
Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang
2004 — conf
A Machine Learning Approach to Conjoint Analysis.
NIPS
Olivier Chapelle, Zaïd Harchaoui
2004 J jnl
Feature Selection for Support Vector Machines Using Genetic Algorithms.
Int. J. Artif. Intell. Tools
Holger Fröhlich, Olivier Chapelle, Bernhard Schölkopf
2003 B conf
Feature Selection for Support Vector Machines by Means of Genetic Algorithms.
ICTAI
Holger Fröhlich, Olivier Chapelle, Bernhard Schölkopf
2003 J jnl
Feature selection and transduction for prediction of molecular bioactivity for drug design.
Bioinform.
Jason Weston, Fernando Pérez-Cruz, Olivier Bousquet, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf
2003 — conf
Measure Based Regularization.
NIPS
Olivier Bousquet, Olivier Chapelle, Matthias Hein
2002 J jnl
Choosing Multiple Parameters for Support Vector Machines.
Mach. Learn.
Olivier Chapelle, Vladimir Vapnik, Olivier Bousquet, Sayan Mukherjee
2002 — conf
Cluster Kernels for Semi-Supervised Learning.
NIPS
Olivier Chapelle, Jason Weston, Bernhard Schölkopf
2002 — conf
Kernel Dependency Estimation.
NIPS
Jason Weston, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf, Vladimir Vapnik
2002 J jnl
Model Selection for Small Sample Regression.
Mach. Learn.
Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio
2001 — conf
Incorporating Invariances in Non-Linear Support Vector Machines.
NIPS
Olivier Chapelle, Bernhard Schölkopf
2000 J jnl
Bounds on Error Expectation for Support Vector Machines.
Neural Comput.
Vladimir Vapnik, Olivier Chapelle
2000 — conf
Feature Selection for SVMs.
NIPS
Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso A. Poggio, Vladimir Vapnik
2000 — conf
Vicinal Risk Minimization.
NIPS
Olivier Chapelle, Jason Weston, Léon Bottou, Vladimir Vapnik
1999 — conf
Model Selection for Support Vector Machines.
NIPS
Olivier Chapelle, Vladimir Vapnik
1999 J jnl
Support vector machines for histogram-based image classification.
IEEE Trans. Neural Networks
Olivier Chapelle, Patrick Haffner, Vladimir Vapnik
1999 — conf
Transductive Inference for Estimating Values of Functions.
NIPS
Olivier Chapelle, Vladimir Vapnik, Jason Weston