Olivier Chapelle

Publication Activity (10 Years)

Years Active: 1999-2017
Publications (10 Years): 5

Top Topics

Active Learning

Distance Metric Learning

Structured Output

Top Venues

J. Mach. Learn. Res.

WWW (Companion Volume)

Publications

Yuchin Juan, Damien Lefortier, Olivier Chapelle
Field-aware Factorization Machines in a Real-world Online Advertising System. CoRR (2017)
Yuchin Juan, Damien Lefortier, Olivier Chapelle
Field-aware Factorization Machines in a Real-world Online Advertising System. WWW (Companion Volume) (2017)
Flavian Vasile, Damien Lefortier, Olivier Chapelle
Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions. ADKDD@KDD (2017)
Bo Long, Jiang Bian, Olivier Chapelle, Ya Zhang, Yoshiyuki Inagaki, Yi Chang
Active Learning for Ranking through Expected Loss Optimization. IEEE Trans. Knowl. Data Eng. 27 (5) (2015)
Olivier Chapelle
Offline Evaluation of Response Prediction in Online Advertising Auctions. WWW (Companion Volume) (2015)
Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen, Olivier Chapelle
Classifier cascades and trees for minimizing feature evaluation cost. J. Mach. Learn. Res. 15 (1) (2014)
Alekh Agarwal, Olivier Chapelle, Miroslav Dudík, John Langford
A reliable effective terascale linear learning system. J. Mach. Learn. Res. 15 (1) (2014)
Olivier Chapelle, Eren Manavoglu, Rómer Rosales
Simple and Scalable Response Prediction for Display Advertising. ACM Trans. Intell. Syst. Technol. 5 (4) (2014)
Olivier Chapelle
Modeling delayed feedback in display advertising. KDD (2014)
Lihong Li, Olivier Chapelle
Open Problem: Regret Bounds for Thompson Sampling. COLT (2012)
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre Velipasaoglu
Learning to suggest: a machine learning framework for ranking query suggestions. SIGIR (2012)
Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle, Dor Kedem
Classifier Cascade for Minimizing Feature Evaluation Cost. AISTATS (2012)
Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle
The Greedy Miser: Learning under Test-time Budgets. ICML (2012)
Olivier Chapelle, Thorsten Joachims, Filip Radlinski, Yisong Yue
Large-scale validation and analysis of interleaved search evaluation. ACM Trans. Inf. Syst. 30 (1) (2012)
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Bellare, Olivier Chapelle, Sundararajan Sellamanickam
Deterministic Annealing for Semi-Supervised Structured Output Learning. AISTATS (2012)
Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle
Distance Metric Learning for Kernel Machines CoRR (2012)
Olivier Chapelle, Yi Chang, Tie-Yan Liu
Future directions in learning to rank. Yahoo! Learning to Rank Challenge (2011)
Olivier Chapelle, Yi Chang
Yahoo! Learning to Rank Challenge Overview. Yahoo! Learning to Rank Challenge (2011)
Alekh Agarwal, Olivier Chapelle, Miroslav Dudík, John Langford
A Reliable Effective Terascale Linear Learning System CoRR (2011)
Olivier Chapelle, Shihao Ji, Ciya Liao, Emre Velipasaoglu, Larry Lai, Su-Lin Wu
Intent-based diversification of web search results: metrics and algorithms. Inf. Retr. 14 (6) (2011)
Olivier Chapelle, Lihong Li
An Empirical Evaluation of Thompson Sampling. NIPS (2011)
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng
Boosted multi-task learning. Mach. Learn. 85 (1-2) (2011)
Bo Long, Olivier Chapelle, Ya Zhang, Yi Chang, Zhaohui Zheng, Belle L. Tseng
Active learning for ranking through expected loss optimization. SIGIR (2010)
Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, Thorsten Joachims
Learning more powerful test statistics for click-based retrieval evaluation. SIGIR (2010)
Olivier Chapelle, S. Sathiya Keerthi
Efficient algorithms for ranking with SVMs. Inf. Retr. 13 (3) (2010)
Berkant Barla Cambazoglu, Hugo Zaragoza, Olivier Chapelle, Jiang Chen, Ciya Liao, Zhaohui Zheng, Jon Degenhardt
Early exit optimizations for additive machine learned ranking systems. WSDM (2010)
Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger
Learning to rank with (a lot of) word features. Inf. Retr. 13 (3) (2010)
Jacob D. Abernethy, Olivier Chapelle, Carlos Castillo
Graph regularization methods for Web spam detection. Mach. Learn. 81 (2) (2010)
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng
Multi-task learning for boosting with application to web search ranking. KDD (2010)
Olivier Chapelle, Mingrui Wu
Gradient descent optimization of smoothed information retrieval metrics. Inf. Retr. 13 (3) (2010)
Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger
Supervised semantic indexing. CIKM (2009)
Olivier Chapelle, Ya Zhang
A dynamic bayesian network click model for web search ranking. WWW (2009)
Shihao Ji, Ke Zhou, Ciya Liao, Zhaohui Zheng, Gui-Rong Xue, Olivier Chapelle, Gordon Sun, Hongyuan Zha
Global ranking by exploiting user clicks. SIGIR (2009)
Olivier Chapelle, Donald Metlzer, Ya Zhang, Pierre Grinspan
Expected reciprocal rank for graded relevance. CIKM (2009)
Olivier Chapelle, Chuong B. Do, Quoc V. Le, Alexander J. Smola, Choon Hui Teo
Tighter Bounds for Structured Estimation. NIPS (2008)
Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi
Optimization Techniques for Semi-Supervised Support Vector Machines. J. Mach. Learn. Res. 9 (2008)
Paul N. Bennett, Ben Carterette, Olivier Chapelle, Thorsten Joachims
Beyond binary relevance: preferences, diversity, and set-level judgments. SIGIR Forum 42 (2) (2008)
Jacob D. Abernethy, Olivier Chapelle, Carlos Castillo
Web spam identification through content and hyperlinks. AIRWeb (2008)
Kilian Q. Weinberger, Olivier Chapelle
Large Margin Taxonomy Embedding for Document Categorization. NIPS (2008)
Peter V. Gehler, Olivier Chapelle
Deterministic Annealing for Multiple-Instance Learning. AISTATS (2007)
Christian Walder, Olivier Chapelle
Learning with Transformation Invariant Kernels. NIPS (2007)
Olivier Chapelle
Training a Support Vector Machine in the Primal. Neural Comput. 19 (5) (2007)
Fabian H. Sinz, Olivier Chapelle, Alekh Agarwal, Bernhard Schölkopf
An Analysis of Inference with the Universum. NIPS (2007)
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen, Gordon Sun
A General Boosting Method and its Application to Learning Ranking Functions for Web Search. NIPS (2007)
Christian Walder, Bernhard Schölkopf, Olivier Chapelle
Implicit Surface Modelling with a Globally Regularised Basis of Compact Support. Comput. Graph. Forum 25 (3) (2006)
Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi
Branch and Bound for Semi-Supervised Support Vector Machines. NIPS (2006)
Christian Walder, Bernhard Schölkopf, Olivier Chapelle
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions. NIPS (2006)
Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chapelle
Deterministic annealing for semi-supervised kernel machines. ICML (2006)
S. Sathiya Keerthi, Vikas Sindhwani, Olivier Chapelle
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models. NIPS (2006)
S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste
Building Support Vector Machines with Reduced Classifier Complexity. J. Mach. Learn. Res. 7 (2006)
Olivier Chapelle, Mingmin Chi, Alexander Zien
A continuation method for semi-supervised SVMs. ICML (2006)
Adam Kowalczyk, Olivier Chapelle
An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron. ALT (2005)
Olivier Chapelle, Alexander Zien
Semi-Supervised Classification by Low Density Separation. AISTATS (2005)
Christian Walder, Olivier Chapelle, Bernhard Schölkopf
Implicit surface modelling as an eigenvalue problem. ICML (2005)
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, Thomas L. 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
The 2005 PASCAL Visual Object Classes Challenge. MLCW (2005)
Olivier Chapelle
Active Learning for Parzen Window Classifier. AISTATS (2005)
Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chapelle
Estimating Predictive Variances with Kernel Ridge Regression. MLCW (2005)
Holger Fröhlich, Olivier Chapelle, Bernhard Schölkopf
Feature Selection for Support Vector Machines Using Genetic Algorithms. Int. J. Artif. Intell. Tools 13 (4) (2004)
Olivier Chapelle, Zaïd Harchaoui
A Machine Learning Approach to Conjoint Analysis. NIPS (2004)
Jason Weston, Fernando Pérez-Cruz, Olivier Bousquet, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf
Feature selection and transduction for prediction of molecular bioactivity for drug design. Bioinform. 19 (6) (2003)
Olivier Bousquet, Olivier Chapelle, Matthias Hein
Measure Based Regularization. NIPS (2003)
Holger Fröhlich, Olivier Chapelle, Bernhard Schölkopf
Feature Selection for Support Vector Machines by Means of Genetic Algorithms. ICTAI (2003)
Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio
Model Selection for Small Sample Regression. Mach. Learn. 48 (1-3) (2002)
Olivier Chapelle, Jason Weston, Bernhard Schölkopf
Cluster Kernels for Semi-Supervised Learning. NIPS (2002)
Olivier Chapelle, Vladimir Vapnik, Olivier Bousquet, Sayan Mukherjee
Choosing Multiple Parameters for Support Vector Machines. Mach. Learn. 46 (1-3) (2002)
Jason Weston, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf, Vladimir Vapnik
Kernel Dependency Estimation. NIPS (2002)
Olivier Chapelle, Bernhard Schölkopf
Incorporating Invariances in Non-Linear Support Vector Machines. NIPS (2001)
Vladimir Vapnik, Olivier Chapelle
Bounds on Error Expectation for Support Vector Machines. Neural Comput. 12 (9) (2000)
Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso A. Poggio, Vladimir Vapnik
Feature Selection for SVMs. NIPS (2000)
Olivier Chapelle, Jason Weston, Léon Bottou, Vladimir Vapnik
Vicinal Risk Minimization. NIPS (2000)
Olivier Chapelle, Vladimir Vapnik
Model Selection for Support Vector Machines. NIPS (1999)
Olivier Chapelle, Patrick Haffner, Vladimir Vapnik
Support vector machines for histogram-based image classification. IEEE Trans. Neural Networks 10 (5) (1999)
Olivier Chapelle, Vladimir Vapnik, Jason Weston
Transductive Inference for Estimating Values of Functions. NIPS (1999)