Improved algorithms for linear stochastic bandits, Advances in Neural Information Processing Systems, pp.2312-2320, 2011. ,
Active Learning in Multi-armed Bandits, International Conference on Algorithmic Learning Theory, pp.287-302, 2008. ,
DOI : 10.1007/978-3-540-87987-9_25
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.144.9885
Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits, Algorithmic Learning Theory, pp.189-203, 2011. ,
DOI : 10.1007/978-3-642-24412-4_17
URL : https://hal.archives-ouvertes.fr/hal-00659696
Eigentaste: A constant time collaborative filtering algorithm, Information Retrieval, vol.4, issue.2, pp.133-151, 2001. ,
DOI : 10.1023/A:1011419012209
Statistical learning with sparsity: the lasso and generalizations, 2015. ,
The MovieLens Datasets, ACM Transactions on Interactive Intelligent Systems, vol.5, issue.4, p.19, 2016. ,
DOI : 10.1145/2827872
Simultaneous Support Recovery in High Dimensions: Benefits and Perils of Block <formula formulatype="inline"><tex Notation="TeX">$\ell _{1}/\ell _{\infty} $</tex></formula>-Regularization, IEEE Transactions on Information Theory, vol.57, issue.6, pp.3841-3863, 2011. ,
DOI : 10.1109/TIT.2011.2144150
Support union recovery in high-dimensional multivariate regression . The Annals of Statistics, pp.1-47, 2011. ,
DOI : 10.1214/09-aos776
URL : http://arxiv.org/abs/0808.0711
Optimal Design of Experiments, Classics in Applied Mathematics. Society for Industrial and Applied Mathematics, 2006. ,
DOI : 10.1137/1.9780898719109
Restricted eigenvalue properties for correlated gaussian designs, Journal of Machine Learning Research, vol.11, issue.8, pp.2241-2259, 2010. ,
Active learning for accurate estimation of linear models, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01538762
Online active linear regression via thresholding, Thirty-First AAAI Conference on Artificial Intelligence, 2017. ,
Active regression by stratification, Advances in Neural Information Processing Systems, pp.469-477, 2014. ,
Introduction to the non-asymptotic analysis of random matrices, 2010. ,
DOI : 10.1017/CBO9780511794308.006
High-dimensional statistics: A nonasymptotic viewpoint, 2015. ,
Block regularized lasso for multivariate multi-response linear regression, AIS- TATS, 2013. ,
V-optimal designs for heteroscedastic regression, Journal of Statistical Planning and Inference, vol.145, pp.125-138, 2014. ,
DOI : 10.1016/j.jspi.2013.09.007