Olivier Chapelle

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2011
54A Reliable Effective Terascale Linear Learning System. Alekh Agarwal, Olivier Chapelle, Miroslav Dudík, John Langford. CoRR (abs/1110.4198) (2011). Web SearchBibTeXDownload
53Intent-based diversification of web search results: metrics and algorithms. Olivier Chapelle, Shihao Ji, Ciya Liao, Emre Velipasaoglu, Larry Lai, Su-Lin Wu. Inf. Retr. (14): 572-592 (2011). Web SearchBibTeXDownload
52Future directions in learning to rank. Olivier Chapelle, Yi Chang, Tie-Yan Liu. Journal of Machine Learning Research - Proceedings Track (14): 91-100 (2011). Web SearchBibTeXDownload
51Yahoo! Learning to Rank Challenge Overview. Olivier Chapelle, Yi Chang. Journal of Machine Learning Research - Proceedings Track (14): 1-24 (2011). Web SearchBibTeXDownload
50Boosted multi-task learning. Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng. Machine Learning (85): 149-173 (2011). Web SearchBibTeXDownload
2010
49Gradient descent optimization of smoothed information retrieval metrics. Olivier Chapelle, Mingrui Wu. Inf. Retr. (13): 216-235 (2010). Web SearchBibTeXDownload
48Learning to rank with (a lot of) word features. Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger. Inf. Retr. (13): 291-314 (2010). Web SearchBibTeXDownload
47Efficient algorithms for ranking with SVMs. Olivier Chapelle, S. Sathiya Keerthi. Inf. Retr. (13): 201-215 (2010). Web SearchBibTeXDownload
46Multi-task learning for boosting with application to web search ranking. Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng. KDD 2010, 1189-1198. Web SearchBibTeXDownload
45Graph regularization methods for Web spam detection. Jacob Abernethy, Olivier Chapelle, Carlos Castillo. Machine Learning (81): 207-225 (2010). Web SearchBibTeXDownload
44Active learning for ranking through expected loss optimization. Bo Long, Olivier Chapelle, Ya Zhang, Yi Chang, Zhaohui Zheng, Belle L. Tseng. SIGIR 2010, 267-274. Web SearchBibTeXDownload
43Learning more powerful test statistics for click-based retrieval evaluation. Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, Thorsten Joachims. SIGIR 2010, 507-514. Web SearchBibTeXDownload
42Early exit optimizations for additive machine learned ranking systems. Berkant Barla Cambazoglu, Hugo Zaragoza, Olivier Chapelle, Jiang Chen, Ciya Liao, Zhaohui Zheng, Jon Degenhardt. WSDM 2010, 411-420. Web SearchBibTeXDownload
2009
41Expected reciprocal rank for graded relevance. Olivier Chapelle, Donald Metlzer, Ya Zhang, Pierre Grinspan. CIKM 2009, 621-630. Web SearchBibTeXDownload
40Supervised semantic indexing. Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger. CIKM 2009, 187-196. Web SearchBibTeXDownload
39Global ranking by exploiting user clicks. Shihao Ji, Ke Zhou, Ciya Liao, Zhaohui Zheng, Gui-Rong Xue, Olivier Chapelle, Gordon Sun, Hongyuan Zha. SIGIR 2009, 35-42. Web SearchBibTeXDownload
38A dynamic bayesian network click model for web search ranking. Olivier Chapelle, Ya Zhang. WWW 2009, 1-10. Web SearchBibTeXDownload
2008
37Web spam identification through content and hyperlinks. Jacob Abernethy, Olivier Chapelle, Carlos Castillo. AIRWeb 2008, 41-44. Web SearchBibTeXDownload
36Optimization Techniques for Semi-Supervised Support Vector Machines. Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi. Journal of Machine Learning Research (9): 203-233 (2008). Web SearchBibTeXDownload
35Large Margin Taxonomy Embedding for Document Categorization. Kilian Q. Weinberger, Olivier Chapelle. NIPS 2008, 1737-1744. Web SearchBibTeXDownload
34Tighter Bounds for Structured Estimation. Olivier Chapelle, Chuong B. Do, Quoc V. Le, Alexander J. Smola, Choon Hui Teo. NIPS 2008, 281-288. Web SearchBibTeXDownload
33Beyond binary relevance: preferences, diversity, and set-level judgments. Paul N. Bennett, Ben Carterette, Olivier Chapelle, Thorsten Joachims. SIGIR Forum (42): 53-58 (2008). Web SearchBibTeXDownload
2007
32Deterministic Annealing for Multiple-Instance Learning. Peter V. Gehler, Olivier Chapelle. Journal of Machine Learning Research - Proceedings Track (2): 123-130 (2007). Web SearchBibTeXDownload
31Training a Support Vector Machine in the Primal. Olivier Chapelle. Neural Computation (19): 1155-1178 (2007). Web SearchBibTeXDownload
30An Analysis of Inference with the Universum. Fabian H. Sinz, Olivier Chapelle, Alekh Agarwal, Bernhard Schölkopf. NIPS 2007. Web SearchBibTeXDownload
29A General Boosting Method and its Application to Learning Ranking Functions for Web Search. Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen, Gordon Sun. NIPS 2007. Web SearchBibTeXDownload
28Learning with Transformation Invariant Kernels. Christian Walder, Olivier Chapelle. NIPS 2007. Web SearchBibTeXDownload
2006
27Implicit Surface Modelling with a Globally Regularised Basis of Compact Support. Christian Walder, Bernhard Schölkopf, Olivier Chapelle. Comput. Graph. Forum (25): 635-644 (2006). Web SearchBibTeXDownload
26A continuation method for semi-supervised SVMs. Olivier Chapelle, Mingmin Chi, Alexander Zien. ICML 2006, 185-192. Web SearchBibTeXDownload
25Deterministic annealing for semi-supervised kernel machines. Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chapelle. ICML 2006, 841-848. Web SearchBibTeXDownload
24Building Support Vector Machines with Reduced Classifier Complexity. S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste. Journal of Machine Learning Research (7): 1493-1515 (2006). Web SearchBibTeXDownload
23An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models. S. Sathiya Keerthi, Vikas Sindhwani, Olivier Chapelle. NIPS 2006, 673-680. Web SearchBibTeXDownload
22Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions. Christian Walder, Bernhard Schölkopf, Olivier Chapelle. NIPS 2006, 273-280. Web SearchBibTeXDownload
21Branch and Bound for Semi-Supervised Support Vector Machines. Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi. NIPS 2006, 217-224. Web SearchBibTeXDownload
2005
20An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron. Adam Kowalczyk, Olivier Chapelle. ALT 2005, 78-91. Web SearchBibTeXDownload
19Implicit surface modelling as an eigenvalue problem. Christian Walder, Olivier Chapelle, Bernhard Schölkopf. ICML 2005, 936-939. Web SearchBibTeXDownload
18The 2005 PASCAL Visual Object Classes Challenge. Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc J. 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. MLCW 2005, 117-176. Web SearchBibTeXDownload
17Estimating Predictive Variances with Kernel Ridge Regression. Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chapelle. MLCW 2005, 56-77. Web SearchBibTeXDownload
2004
16Feature Selection for Support Vector Machines Using Genetic Algorithms. Holger Fröhlich, Olivier Chapelle, Bernhard Schölkopf. International Journal on Artificial Intelligence Tools (13): 791-800 (2004). Web SearchBibTeXDownload
15A Machine Learning Approach to Conjoint Analysis. Olivier Chapelle, Zaïd Harchaoui. NIPS 2004. Web SearchBibTeXDownload
2003
14Feature selection and transduction for prediction of molecular bioactivity for drug design. Jason Weston, Fernando Pérez-Cruz, Olivier Bousquet, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf. Bioinformatics (19): 764-771 (2003). Web SearchBibTeXDownload
13Feature Selection for Support Vector Machines by Means of Genetic Algorithms. Holger Fröhlich, Olivier Chapelle, Bernhard Schölkopf. ICTAI 2003, 142-148. Web SearchBibTeXDownload
12Measure Based Regularization. Olivier Bousquet, Olivier Chapelle, Matthias Hein. NIPS 2003. Web SearchBibTeXDownload
2002
11Choosing Multiple Parameters for Support Vector Machines. Olivier Chapelle, Vladimir Vapnik, Olivier Bousquet, Sayan Mukherjee. Machine Learning (46): 131-159 (2002). Web SearchBibTeXDownload
10Model Selection for Small Sample Regression. Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio. Machine Learning (48): 9-23 (2002). Web SearchBibTeXDownload
9Cluster Kernels for Semi-Supervised Learning. Olivier Chapelle, Jason Weston, Bernhard Schölkopf. NIPS 2002, 585-592. Web SearchBibTeXDownload
8Kernel Dependency Estimation. Jason Weston, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf, Vladimir Vapnik. NIPS 2002, 873-880. Web SearchBibTeXDownload
2001
7Incorporating Invariances in Non-Linear Support Vector Machines. Olivier Chapelle, Bernhard Schölkopf. NIPS 2001, 609-616. Web SearchBibTeXDownload
2000
6Bounds on Error Expectation for Support Vector Machines. Vladimir Vapnik, Olivier Chapelle. Neural Computation (12): 2013-2036 (2000). Web SearchBibTeXDownload
5Feature Selection for SVMs. Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik. NIPS 2000, 668-674. Web SearchBibTeX
4Vicinal Risk Minimization. Olivier Chapelle, Jason Weston, Léon Bottou, Vladimir Vapnik. NIPS 2000, 416-422. Web SearchBibTeX
1999
3Support vector machines for histogram-based image classification. Olivier Chapelle, Patrick Haffner, Vladimir Vapnik. IEEE Transactions on Neural Networks (10): 1055-1064 (1999). Web SearchBibTeXDownload
2Transductive Inference for Estimating Values of Functions. Olivier Chapelle, Vladimir Vapnik, Jason Weston. NIPS 1999, 421-427. Web SearchBibTeXDownload
1Model Selection for Support Vector Machines. Olivier Chapelle, Vladimir Vapnik. NIPS 1999, 230-236. Web SearchBibTeXDownload
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