Scaling Up Machine Learning, 2011. ,
Robustness and generalization for metric learning, Neurocomputing, vol.151, issue.1, pp.259-267, 2015. ,
DOI : 10.1016/j.neucom.2014.09.044
URL : https://hal.archives-ouvertes.fr/hal-01075370
A survey on metric learning for feature vectors and structured data ArXiv e-prints, 2013. ,
Incomplete Generalized U-Statistics for Food Risk Assessment, Biometrics, vol.40, issue.1, pp.66-74, 2006. ,
DOI : 10.1111/j.1541-0420.2005.00401.x
URL : https://hal.archives-ouvertes.fr/hal-01068794
Moral-Adell. On-line learning gossip algorithm in multi-agent systems with local decision rules, Proceedings of the IEEE International Conference on Big Data, 2013. ,
-statistics, Biometrika, vol.63, issue.3, pp.573-580, 1976. ,
DOI : 10.1093/biomet/63.3.573
URL : https://hal.archives-ouvertes.fr/in2p3-00608259
Online Algorithms and Stochastic Approximations: Online Learning and Neural Networks, 1998. ,
Theory of Classification: a Survey of Some Recent Advances, ESAIM: Probability and Statistics, vol.9, pp.323-375, 2005. ,
DOI : 10.1051/ps:2005018
URL : https://hal.archives-ouvertes.fr/hal-00017923
Reduced $U$-Statistics and the Hodges-Lehmann Estimator, The Annals of Statistics, vol.6, issue.4, pp.828-835, 1978. ,
DOI : 10.1214/aos/1176344256
Generalization bounds for metric and similarity learning, Machine Learning, vol.13, issue.1, 2012. ,
DOI : 10.1007/s10994-015-5499-7
Large Scale Online Learning of Image Similarity through Ranking, Journal of Machine Learning Research, vol.11, pp.1109-1135, 2010. ,
DOI : 10.1007/978-3-642-02172-5_2
A statistical view of clustering performance through the theory of -processes, Journal of Multivariate Analysis, vol.124, pp.42-56, 2014. ,
DOI : 10.1016/j.jmva.2013.10.001
Building confidence regions for the ROC surface. To appear in Pattern Recognition Letters, 2014. ,
Tree-Based Ranking Methods, IEEE Transactions on Information Theory, vol.55, issue.9, pp.4316-4336, 2009. ,
DOI : 10.1109/TIT.2009.2025558
Ranking and scoring using empirical risk minimization, Proceedings of COLT, 2005. ,
Ranking and empirical risk minimization of U-statistics. The Annals of Statistics, pp.844-874, 2008. ,
Ranking data with ordinal labels: optimality and pairwise aggregation, Machine Learning, pp.67-104, 2013. ,
Sampling techniques, 1977. ,
Decoupling: from Dependence to Independence, 1999. ,
DOI : 10.1007/978-1-4612-0537-1
Réplications d'´ echantillons, demi-´ echantillons, Jackknife, bootstrap dans les sondages, Economica, 1987. ,
A Probabilistic Theory of Pattern Recognition, 1996. ,
DOI : 10.1007/978-1-4612-0711-5
On sampling from sets of random variables with application to incomplete U-statistics, 1978. ,
The Elements of Statistical Learning, 2009. ,
Probability Inequalities for Sums of Independent Random Variables, Theory of Probability & Its Applications, vol.16, issue.4, p.643660, 1971. ,
DOI : 10.1137/1116071
Some limit theorems for empirical processes. The Annals of Probability, pp.929-989, 1984. ,
Convergence Rates for $U$-Statistics and Related Statistics, The Annals of Statistics, vol.1, issue.1, pp.153-160, 1973. ,
DOI : 10.1214/aos/1193342392
Asymptotic Theory of Rejective Sampling with Varying Probabilities from a Finite Population, The Annals of Mathematical Statistics, vol.35, issue.4, pp.1491-1523, 1964. ,
DOI : 10.1214/aoms/1177700375
Asymptotic Normality of Simple Linear Rank Statistics Under Alternatives, The Annals of Mathematical Statistics, vol.39, issue.2, pp.325-346, 1968. ,
DOI : 10.1214/aoms/1177698394
A Class of Statistics with Asymptotically Normal Distribution, The Annals of Mathematical Statistics, vol.19, issue.3, pp.293-325, 1948. ,
DOI : 10.1214/aoms/1177730196
A Generalization of Sampling Without Replacement from a Finite Universe, Journal of the American Statistical Association, vol.1, issue.260, pp.663-685, 1951. ,
DOI : 10.1080/01621459.1949.10483288
The asymptotic distributions of incomplete U-statistics, Zeitschrift f???r Wahrscheinlichkeitstheorie und Verwandte Gebiete, vol.49, issue.4, pp.495-505, 1984. ,
DOI : 10.1007/BF00531887
Regularized distance metric learning: theory and algorithm, Advances in Neural Information Processing Systems 22, pp.862-870, 2009. ,
Accelerating stochastic gradient descent using predictive variance reduction, Advances in Neural Information Processing Systems 26, pp.315-323, 2013. ,
A local search approximation algorithm for k-means clustering, Computational Geometry, vol.28, pp.2-389, 2004. ,
A Stochastic gradient method with an exponential convergence rate for finite training sets, Advances in Neural Information Processing Systems 25, pp.2672-2680, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00674995
Probability in Banach Spaces, 1991. ,
DOI : 10.1007/978-3-642-20212-4
U-statistics: Theory and Practice, 1990. ,
Pattern Classification and Learning Theory, Principles of Nonparametric Learning, pp.1-56, 2002. ,
DOI : 10.1007/978-3-7091-2568-7_1
Concentration Inequalities and Model Selection, Lecture Notes in Mathematics, 2006. ,
On the method of bounded differences, pp.148-188, 1989. ,
DOI : 10.1017/CBO9781107359949.008
Scikit-learn: machine learning in Python, Journal of Machine Learning Research, vol.12, pp.2825-2830, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00650905
Probability inequalities for the sum in sampling without replacement. The Annals of Statistics, pp.39-48, 1974. ,
Approximation Theorems of Mathematical Statistics, 1980. ,
Sampling Algorithms, 2006. ,
DOI : 10.1007/978-3-642-04898-2_501
An overview of statistical learning theory, IEEE Transactions on Neural Networks, vol.10, issue.5, pp.988-999, 1999. ,
DOI : 10.1109/72.788640
Hierarchical Grouping to Optimize an Objective Function, Journal of the American Statistical Association, vol.58, issue.301, pp.236-244, 1963. ,
DOI : 10.1007/BF02289263
Distance metric learning for large margin nearest neighbor classification, Journal of Machine Learning Research, vol.10, pp.207-244, 2009. ,