Olivier Chapelle

	2012
58		Olivier Chapelle, Thorsten Joachims, Filip Radlinski, Yisong Yue: Large-scale validation and analysis of interleaved search evaluation. ACM Trans. Inf. Syst. 30(1): 6 (2012)
57		Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle, Dor Kedem: Classifier Cascade for Minimizing Feature Evaluation Cost. Journal of Machine Learning Research - Proceedings Track 22: 218-226 (2012)
56		Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Bellare, Olivier Chapelle, Sundararajan Sellamanickam: Deterministic Annealing for Semi-Supervised Structured Output Learning. Journal of Machine Learning Research - Proceedings Track 22: 299-307 (2012)
	2011
55		Olivier Chapelle, Lihong Li: An Empirical Evaluation of Thompson Sampling. NIPS 2011: 2249-2257
54		Alekh Agarwal, Olivier Chapelle, Miroslav Dudík, John Langford: A Reliable Effective Terascale Linear Learning System CoRR abs/1110.4198: (2011)
53		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): 572-592 (2011)
52		Olivier Chapelle, Yi Chang: Yahoo! Learning to Rank Challenge Overview. Journal of Machine Learning Research - Proceedings Track 14: 1-24 (2011)
51		Olivier Chapelle, Yi Chang, Tie-Yan Liu: Future directions in learning to rank. Journal of Machine Learning Research - Proceedings Track 14: 91-100 (2011)
50		Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng: Boosted multi-task learning. Machine Learning 85(1-2): 149-173 (2011)
	2010
49		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: 1189-1198
48		Bo Long, Olivier Chapelle, Ya Zhang, Yi Chang, Zhaohui Zheng, Belle L. Tseng: Active learning for ranking through expected loss optimization. SIGIR 2010: 267-274
47		Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, Thorsten Joachims: Learning more powerful test statistics for click-based retrieval evaluation. SIGIR 2010: 507-514
46		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: 411-420
45		Olivier Chapelle, S. Sathiya Keerthi: Efficient algorithms for ranking with SVMs. Inf. Retr. 13(3): 201-215 (2010)
44		Olivier Chapelle, Mingrui Wu: Gradient descent optimization of smoothed information retrieval metrics. Inf. Retr. 13(3): 216-235 (2010)
43		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): 291-314 (2010)
42		Jacob Abernethy, Olivier Chapelle, Carlos Castillo: Graph regularization methods for Web spam detection. Machine Learning 81(2): 207-225 (2010)
	2009
41		Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger: Supervised semantic indexing. CIKM 2009: 187-196
40		Olivier Chapelle, Donald Metlzer, Ya Zhang, Pierre Grinspan: Expected reciprocal rank for graded relevance. CIKM 2009: 621-630
39		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: 35-42
38		Olivier Chapelle, Ya Zhang: A dynamic bayesian network click model for web search ranking. WWW 2009: 1-10
	2008
37		Jacob Abernethy, Olivier Chapelle, Carlos Castillo: Web spam identification through content and hyperlinks. AIRWeb 2008: 41-44
36		Kilian Q. Weinberger, Olivier Chapelle: Large Margin Taxonomy Embedding for Document Categorization. NIPS 2008: 1737-1744
35		Olivier Chapelle, Chuong B. Do, Quoc V. Le, Alexander J. Smola, Choon Hui Teo: Tighter Bounds for Structured Estimation. NIPS 2008: 281-288
34		Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi: Optimization Techniques for Semi-Supervised Support Vector Machines. Journal of Machine Learning Research 9: 203-233 (2008)
33		Paul N. Bennett, Ben Carterette, Olivier Chapelle, Thorsten Joachims: Beyond binary relevance: preferences, diversity, and set-level judgments. SIGIR Forum 42(2): 53-58 (2008)
	2007
32		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
31		Fabian H. Sinz, Olivier Chapelle, Alekh Agarwal, Bernhard Schölkopf: An Analysis of Inference with the Universum. NIPS 2007
30		Christian Walder, Olivier Chapelle: Learning with Transformation Invariant Kernels. NIPS 2007
29		Peter V. Gehler, Olivier Chapelle: Deterministic Annealing for Multiple-Instance Learning. Journal of Machine Learning Research - Proceedings Track 2: 123-130 (2007)
28		Olivier Chapelle: Training a Support Vector Machine in the Primal. Neural Computation 19(5): 1155-1178 (2007)
	2006
27		Olivier Chapelle, Mingmin Chi, Alexander Zien: A continuation method for semi-supervised SVMs. ICML 2006: 185-192
26		Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chapelle: Deterministic annealing for semi-supervised kernel machines. ICML 2006: 841-848
25		Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi: Branch and Bound for Semi-Supervised Support Vector Machines. NIPS 2006: 217-224
24		Christian Walder, Bernhard Schölkopf, Olivier Chapelle: Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions. NIPS 2006: 273-280
23		S. Sathiya Keerthi, Vikas Sindhwani, Olivier Chapelle: An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models. NIPS 2006: 673-680
22		Christian Walder, Bernhard Schölkopf, Olivier Chapelle: Implicit Surface Modelling with a Globally Regularised Basis of Compact Support. Comput. Graph. Forum 25(3): 635-644 (2006)
21		S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste: Building Support Vector Machines with Reduced Classifier Complexity. Journal of Machine Learning Research 7: 1493-1515 (2006)
	2005
20		Adam Kowalczyk, Olivier Chapelle: An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron. ALT 2005: 78-91
19		Christian Walder, Olivier Chapelle, Bernhard Schölkopf: Implicit surface modelling as an eigenvalue problem. ICML 2005: 936-939
18		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: The 2005 PASCAL Visual Object Classes Challenge. MLCW 2005: 117-176
17		Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chapelle: Estimating Predictive Variances with Kernel Ridge Regression. MLCW 2005: 56-77
	2004
16		Olivier Chapelle, Zaïd Harchaoui: A Machine Learning Approach to Conjoint Analysis. NIPS 2004
15		Holger Fröhlich, Olivier Chapelle, Bernhard Schölkopf: Feature Selection for Support Vector Machines Using Genetic Algorithms. International Journal on Artificial Intelligence Tools 13(4): 791-800 (2004)
	2003
14		Holger Fröhlich, Olivier Chapelle, Bernhard Schölkopf: Feature Selection for Support Vector Machines by Means of Genetic Algorithms. ICTAI 2003: 142-148
13		Olivier Bousquet, Olivier Chapelle, Matthias Hein: Measure Based Regularization. NIPS 2003
12		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. Bioinformatics 19(6): 764-771 (2003)
	2002
11		Olivier Chapelle, Jason Weston, Bernhard Schölkopf: Cluster Kernels for Semi-Supervised Learning. NIPS 2002: 585-592
10		Jason Weston, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf, Vladimir Vapnik: Kernel Dependency Estimation. NIPS 2002: 873-880
9		Olivier Chapelle, Vladimir Vapnik, Olivier Bousquet, Sayan Mukherjee: Choosing Multiple Parameters for Support Vector Machines. Machine Learning 46(1-3): 131-159 (2002)
8		Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio: Model Selection for Small Sample Regression. Machine Learning 48(1-3): 9-23 (2002)
	2001
7		Olivier Chapelle, Bernhard Schölkopf: Incorporating Invariances in Non-Linear Support Vector Machines. NIPS 2001: 609-616
	2000
6		Olivier Chapelle, Jason Weston, Léon Bottou, Vladimir Vapnik: Vicinal Risk Minimization. NIPS 2000: 416-422
5		Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik: Feature Selection for SVMs. NIPS 2000: 668-674
4		Vladimir Vapnik, Olivier Chapelle: Bounds on Error Expectation for Support Vector Machines. Neural Computation 12(9): 2013-2036 (2000)
	1999
3		Olivier Chapelle, Vladimir Vapnik: Model Selection for Support Vector Machines. NIPS 1999: 230-236
2		Olivier Chapelle, Vladimir Vapnik, Jason Weston: Transductive Inference for Estimating Values of Functions. NIPS 1999: 421-427
1		Olivier Chapelle, Patrick Haffner, Vladimir Vapnik: Support vector machines for histogram-based image classification. IEEE Transactions on Neural Networks 10(5): 1055-1064 (1999)

Coauthor Index

1	Jacob Abernethy	[37] [42]
2	Alekh Agarwal	[31] [54]
3	Moray Allan	[18]
4	Bing Bai	[41] [43]
5	Kedar Bellare	[56]
6	Yoshua Bengio	[8]
7	Paul N. Bennett	[33]
8	Christopher M. Bishop	[18]
9	Léon Bottou	[6]
10	Olivier Bousquet	[9] [12] [13]
11	Berkant Barla Cambazoglu	[46]
12	Ben Carterette	[33]
13	Carlos Castillo	[37] [42]
14	Gavin C. Cawley	[17]
15	Yi Chang	[48] [51] [52]
16	Jiang Chen	[46]
17	Keke Chen	[32]
18	Minmin Chen	[57]
19	Mingmin Chi	[27]
20	Ronan Collobert	[41] [43]
21	Navneet Dalal	[18]
22	Dennis DeCoste	[21]
23	Jon Degenhardt	[46]
24	Thomas Deselaers	[18]
25	Paramveer S. Dhillon	[56]
26	Chuong B. Do	[35]
27	Gyuri Dorkó	[18]
28	Miroslav Dudík	[54]
29	Stefan Duffner	[18]
30	Jan Eichhorn	[18]
31	André Elisseeff	[10] [12]
32	Mark Everingham	[18]
33	Jason D. R. Farquhar	[18]
34	Mario Fritz	[18]
35	Holger Fröhlich	[14] [15]
36	Yue Gao	[47]
37	Christophe Garcia	[18]
38	Peter V. Gehler	[29]
39	Luc J. Van Gool	[18]
40	David Grangier	[41] [43]
41	Tom Griffiths	[18]
42	Pierre Grinspan	[40]
43	Patrick Haffner	[1]
44	Zaïd Harchaoui	[16]
45	Matthias Hein	[13]
46	Shihao Ji	[39] [53]
47	Thorsten Joachims	[33] [47] [58]
48	Frédéric Jurie	[18]
49	Dor Kedem	[57]
50	S. Sathiya Keerthi (Sathiya Keerthi Selvaraj)	[21] [23] [25] [26] [34] [45] [56]
51	Daniel Keysers	[18]
52	Markus Koskela	[18]
53	Adam Kowalczyk	[20]
54	Jorma Laaksonen	[18]
55	Larry Lai	[53]
56	John Langford	[54]
57	Diane Larlus	[18]
58	Quoc V. Le (Quoc Viet Le)	[35]
59	Bastian Leibe	[18]
60	Lihong Li	[55]
61	Ciya Liao	[39] [46] [53]
62	Tie-Yan Liu	[51]
63	Bo Long	[48]
64	Hongying Meng	[18]
65	Donald Metlzer	[40]
66	Sayan Mukherjee	[5] [9]
67	Hermann Ney	[18]
68	Fernando Pérez-Cruz	[12]
69	Tomaso Poggio	[5]
70	Massimiliano Pontil	[5]
71	Yanjun Qi	[41] [43]
72	Filip Radlinski	[58]
73	Kunihiko Sadamasa	[41] [43]
74	Bernt Schiele	[18]
75	Cordelia Schmid	[18]
76	Bernhard Schölkopf	[7] [10] [11] [12] [14] [15] [19] [22] [24] [31]
77	Edgar Seemann	[18]
78	Sundararajan Sellamanickam	[56]
79	John Shawe-Taylor	[18]
80	Pannagadatta K. Shivaswamy (Pannaga Shivaswamy)	[49] [50]
81	Vikas Sindhwani	[23] [25] [26] [34]
82	Fabian H. Sinz	[31]
83	Alexander J. Smola (Alex J. Smola)	[35]
84	Amos J. Storkey	[18]
85	Gordon Sun	[32] [39]
86	Sándor Szedmák	[18]
87	Nicola L. C. Talbot	[17]
88	Choon Hui Teo	[35]
89	Bill Triggs	[18]
90	Belle L. Tseng	[48] [49] [50]
91	Ilkay Ulusoy	[18]
92	Srinivas Vadrevu	[49] [50]
93	Vladimir Vapnik	[1] [2] [3] [4] [5] [6] [8] [9] [10]
94	Emre Velipasaoglu	[53]
95	Ville Viitaniemi	[18]
96	Christian Walder	[19] [22] [24] [30]
97	Kilian Q. Weinberger	[36] [41] [43] [49] [50] [57]
98	Jason Weston	[2] [5] [6] [10] [11] [12] [41] [43]
99	Christopher K. I. Williams	[18]
100	Mingrui Wu	[44]
101	Su-Lin Wu	[53]
102	Zhixiang Eddie Xu	[57]
103	Gui-Rong Xue	[39]
104	Yisong Yue	[47] [58]
105	Hugo Zaragoza	[46]
106	Hongyuan Zha	[32] [39]
107	Jianguo Zhang	[18]
108	Tong Zhang	[32]
109	Ya Zhang	[38] [40] [47] [48] [49] [50]
110	Zhaohui Zheng	[32] [39] [46] [48]
111	Ke Zhou	[39]
112	Alexander Zien	[27]
113	Andrew Zisserman	[18]

Colors in the list of coauthors

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