Olivier Chapelle

	2009
39		Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger: Supervised semantic indexing. CIKM 2009: 187-196
38		Olivier Chapelle, Donald Metlzer, Ya Zhang, Pierre Grinspan: Expected reciprocal rank for graded relevance. CIKM 2009: 621-630
37		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
36		Olivier Chapelle, Ya Zhang: A dynamic bayesian network click model for web search ranking. WWW 2009: 1-10
	2008
35		Jacob Abernethy, Olivier Chapelle, Carlos Castillo: Web spam identification through content and hyperlinks. AIRWeb 2008: 41-44
34		Kilian Q. Weinberger, Olivier Chapelle: Large Margin Taxonomy Embedding for Document Categorization. NIPS 2008: 1737-1744
33		Olivier Chapelle, Chuong B. Do, Quoc V. Le, Alexander J. Smola, Choon Hui Teo: Tighter Bounds for Structured Estimation. NIPS 2008: 281-288
32		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
31		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
30		Fabian H. Sinz, Olivier Chapelle, Alekh Agarwal, Bernhard Schölkopf: An Analysis of Inference with the Universum. NIPS 2007
29		Christian Walder, Olivier Chapelle: Learning with Transformation Invariant Kernels. NIPS 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	[35]
2	Alekh Agarwal	[30]
3	Moray Allan	[18]
4	Bing Bai	[39]
5	Yoshua Bengio	[8]
6	Paul N. Bennett	[32]
7	Christopher M. Bishop	[18]
8	Léon Bottou	[6]
9	Olivier Bousquet	[9] [12] [13]
10	Ben Carterette	[32]
11	Carlos Castillo	[35]
12	Gavin C. Cawley	[17]
13	Keke Chen	[31]
14	Mingmin Chi	[27]
15	Ronan Collobert	[39]
16	Navneet Dalal	[18]
17	Dennis DeCoste	[21]
18	Thomas Deselaers	[18]
19	Chuong B. Do	[33]
20	Gyuri Dorkó	[18]
21	Stefan Duffner	[18]
22	Jan Eichhorn	[18]
23	André Elisseeff	[10] [12]
24	Mark Everingham	[18]
25	Jason D. R. Farquhar	[18]
26	Mario Fritz	[18]
27	Holger Fröhlich	[14] [15]
28	Christophe Garcia	[18]
29	Luc J. Van Gool	[18]
30	David Grangier	[39]
31	Tom Griffiths	[18]
32	Pierre Grinspan	[38]
33	Patrick Haffner	[1]
34	Zaïd Harchaoui	[16]
35	Matthias Hein	[13]
36	Shihao Ji	[37]
37	Thorsten Joachims	[32]
38	Frédéric Jurie	[18]
39	S. Sathiya Keerthi	[21] [23] [25] [26]
40	Daniel Keysers	[18]
41	Markus Koskela	[18]
42	Adam Kowalczyk	[20]
43	Jorma Laaksonen	[18]
44	Diane Larlus	[18]
45	Quoc V. Le	[33]
46	Bastian Leibe	[18]
47	Ciya Liao	[37]
48	Hongying Meng	[18]
49	Donald Metlzer	[38]
50	Sayan Mukherjee	[5] [9]
51	Hermann Ney	[18]
52	Fernando Pérez-Cruz	[12]
53	Tomaso Poggio	[5]
54	Massimiliano Pontil	[5]
55	Yanjun Qi	[39]
56	Kunihiko Sadamasa	[39]
57	Bernt Schiele	[18]
58	Cordelia Schmid	[18]
59	Bernhard Schölkopf	[7] [10] [11] [12] [14] [15] [19] [22] [24] [30]
60	Edgar Seemann	[18]
61	John Shawe-Taylor	[18]
62	Vikas Sindhwani	[23] [25] [26]
63	Fabian H. Sinz	[30]
64	Alexander J. Smola (Alex J. Smola)	[33]
65	Amos J. Storkey	[18]
66	Gordon Sun	[31] [37]
67	Sándor Szedmák	[18]
68	Nicola L. C. Talbot	[17]
69	Choon Hui Teo	[33]
70	Bill Triggs	[18]
71	Ilkay Ulusoy	[18]
72	Vladimir Vapnik	[1] [2] [3] [4] [5] [6] [8] [9] [10]
73	Ville Viitaniemi	[18]
74	Christian Walder	[19] [22] [24] [29]
75	Kilian Q. Weinberger	[34] [39]
76	Jason Weston	[2] [5] [6] [10] [11] [12] [39]
77	Christopher K. I. Williams	[18]
78	Gui-Rong Xue	[37]
79	Hongyuan Zha	[31] [37]
80	Jianguo Zhang	[18]
81	Tong Zhang	[31]
82	Ya Zhang	[36] [38]
83	Zhaohui Zheng	[31] [37]
84	Ke Zhou	[37]
85	Alexander Zien	[27]
86	Andrew Zisserman	[18]

Colors in the list of coauthors