Alexandre d'Aspremont
Alexandre d'Aspremont
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Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data
O Banerjee, LE Ghaoui, A d’Aspremont
Journal of Machine learning research 9 (Mar), 485-516, 2008
A direct formulation for sparse PCA using semidefinite programming
A d'Aspremont, LE Ghaoui, MI Jordan, GR Lanckriet
Advances in neural information processing systems, 41-48, 2005
Phase recovery, maxcut and complex semidefinite programming
I Waldspurger, A d’Aspremont, S Mallat
Mathematical Programming 149 (1-2), 47-81, 2015
First-order methods for sparse covariance selection
A d'Aspremont, O Banerjee, L El Ghaoui
SIAM Journal on Matrix Analysis and Applications 30 (1), 56-66, 2008
Optimal solutions for sparse principal component analysis
A d’Aspremont, F Bach, LE Ghaoui
Journal of Machine Learning Research 9 (Jul), 1269-1294, 2008
Convex optimization techniques for fitting sparse Gaussian graphical models
O Banerjee, LE Ghaoui, A d'Aspremont, G Natsoulis
Proceedings of the 23rd international conference on Machine learning, 89-96, 2006
Relaxations and randomized methods for nonconvex QCQPs
A d’Aspremont, S Boyd
EE392o Class Notes, Stanford University 1, 1-16, 2003
Smooth optimization with approximate gradient
A d'Aspremont
SIAM Journal on Optimization 19 (3), 1171-1183, 2008
Support vector machine classification with indefinite kernels
R Luss, A d'Aspremont
Advances in Neural Information Processing Systems, 953-960, 2008
Predicting abnormal returns from news using text classification
R Luss, A d’Aspremont
Quantitative Finance 15 (6), 999-1012, 2015
Testing the nullspace property using semidefinite programming
A d’Aspremont, L El Ghaoui
Mathematical programming 127 (1), 123-144, 2011
Convex relaxations for permutation problems
F Fogel, R Jenatton, F Bach, A d'Aspremont
Advances in Neural Information Processing Systems, 1016-1024, 2013
Identifying small mean-reverting portfolios
A d'Aspremont
Quantitative Finance 11 (3), 351-364, 2011
Static arbitrage bounds on basket option prices
A d'Aspremont, L El Ghaoui
Mathematical programming 106 (3), 467-489, 2006
Sparse PCA: Convex relaxations, algorithms and applications
Y Zhang, A d’Aspremont, L El Ghaoui
Handbook on Semidefinite, Conic and Polynomial Optimization, 915-940, 2012
Regularized nonlinear acceleration
D Scieur, A d'Aspremont, F Bach
Advances In Neural Information Processing Systems, 712-720, 2016
Phase retrieval for imaging problems
F Fogel, I Waldspurger, A d’Aspremont
Mathematical programming computation 8 (3), 311-335, 2016
Full regularization path for sparse principal component analysis
A d'Aspremont, FR Bach, LE Ghaoui
Proceedings of the 24th international conference on Machine learning, 177-184, 2007
Integration methods and accelerated optimization algorithms
D Scieur, V Roulet, F Bach, A d'Aspremont
arXiv preprint arXiv:1702.06751, 2017
Clustering and feature selection using sparse principal component analysis
R Luss, A d’Aspremont
Optimization and Engineering 11 (1), 145-157, 2010
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