Stéphan Clémençon

	2011
24		Stéphan Clémençon, Romaric Gaudel, Jérémie Jakubowicz: Clustering Rankings in the Fourier Domain. ECML/PKDD (1) 2011: 343-358
23		Stéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet-Chi Tran: Hierarchical clustering for graph visualization. ESANN 2011
22		Sylvain Robbiano, Stéphan Clémençon: Minimax Learning Rates for Bipartite Ranking and Plug-in Rules. ICML 2011: 441-448
21		Stéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet-Chi Tran: Visual Mining of Epidemic Networks. IWANN (2) 2011: 276-283
20		Stéphan Clémençon: On U-processes and clustering performance. NIPS 2011: 37-45
19		Charanpal Dhanjal, Stéphan Clémençon: Maximising the Quality of Influence. SDM 2011: 956-967
18		Charanpal Dhanjal, Stéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet-Chi Tran: The Evolution of the Cuban HIV/AIDS Network CoRR abs/1109.2499: (2011)
17		Stéphan Clémençon, Marine Depecker, Nicolas Vayatis: Adaptive partitioning schemes for bipartite ranking - How to grow and prune a ranking tree. Machine Learning 83(1): 31-69 (2011)
16		Stéphan Clémençon, Marine Depecker, Nicolas Vayatis: Avancées récentes dans le domaine de l'apprentissage d'ordonnancements. Revue d'Intelligence Artificielle 25(3): 345-368 (2011)
	2010
15		Stéphan Clémençon, Jérémie Jakubowicz: Kantorovich Distances between Rankings with Applications to Rank Aggregation. ECML/PKDD (1) 2010: 248-263
	2009
14		Stéphan Clémençon, Nicolas Vayatis: Adaptive Estimation of the Optimal ROC Curve and a Bipartite Ranking Algorithm. ALT 2009: 216-231
13		Stéphan Clémençon, Nicolas Vayatis: Nonparametric estimation of the precision-recall curve. ICML 2009: 24
12		Stéphan Clémençon, Marine Depecker, Nicolas Vayatis: Bagging Ranking Trees. ICMLA 2009: 658-663
11		Stéphan Clémençon, Nicolas Vayatis, Marine Depecker: AUC optimization and the two-sample problem. NIPS 2009: 360-368
10		Stéphan Clémençon, Nicolas Vayatis: Tree-based ranking methods. IEEE Transactions on Information Theory 55(9): 4316-4336 (2009)
9		Stéphan Clémençon, Nicolas Vayatis: On Partitioning Rules for Bipartite Ranking. Journal of Machine Learning Research - Proceedings Track 5: 97-104 (2009)
	2008
8		Stéphan Clémençon, Nicolas Vayatis: Approximation of the Optimal ROC Curve and a Tree-Based Ranking Algorithm. ALT 2008: 22-37
7		Patrice Bertail, Stéphan Clémençon, Nicolas Vayatis: On Bootstrapping the ROC Curve. NIPS 2008: 137-144
6		Stéphan Clémençon, Nicolas Vayatis: Empirical performance maximization for linear rank statistics. NIPS 2008: 305-312
5		Stéphan Clémençon, Nicolas Vayatis: Overlaying classifiers: a practical approach for optimal ranking. NIPS 2008: 313-320
4		Patrice Bertail, Stéphan Clémençon: Approximate regenerative-block bootstrap for Markov chains. Computational Statistics & Data Analysis 52(5): 2739-2756 (2008)
	2007
3		Stéphan Clémençon, Nicolas Vayatis: Ranking the Best Instances. Journal of Machine Learning Research 8: 2671-2699 (2007)
	2005
2		Stéphan Clémençon, Gábor Lugosi, Nicolas Vayatis: Ranking and Scoring Using Empirical Risk Minimization. COLT 2005: 1-15
1		Stéphan Clémençon, Gábor Lugosi, Nicolas Vayatis: From Ranking to Classification: A Statistical View. GfKl 2005: 214-221

Coauthor Index

1	Héctor de Arazoza	[18] [21] [23]
2	Patrice Bertail	[4] [7]
3	Marine Depecker	[11] [12] [16] [17]
4	Charanpal Dhanjal	[18] [19]
5	Romaric Gaudel	[24]
6	Jérémie Jakubowicz	[15] [24]
7	Gábor Lugosi	[1] [2]
8	Sylvain Robbiano	[22]
9	Fabrice Rossi	[18] [21] [23]
10	Viet-Chi Tran	[18] [21] [23]
11	Nicolas Vayatis	[1] [2] [3] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [16] [17]

Colors in the list of coauthors

Last update Tue May 29 01:28:40 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page