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, L El Ghaoui, A d'Aspremont
The Journal of Machine Learning Research 9, 485-516, 2008
A direct formulation for sparse PCA using semidefinite programming
A d'Aspremont, L Ghaoui, M Jordan, G Lanckriet
Advances in neural information processing systems 17, 2004
Phase recovery, maxcut and complex semidefinite programming
I Waldspurger, A d’Aspremont, S Mallat
Mathematical Programming 149, 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, L El Ghaoui
Journal of Machine Learning Research 9 (7), 2008
Smooth optimization with approximate gradient
A d'Aspremont
SIAM Journal on Optimization 19 (3), 1171-1183, 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
Predicting abnormal returns from news using text classification
R Luss, A d’Aspremont
Quantitative Finance 15 (6), 999-1012, 2015
Global assessment of oil and gas methane ultra-emitters
T Lauvaux, C Giron, M Mazzolini, A d’Aspremont, R Duren, D Cusworth, ...
Science 375 (6580), 557-561, 2022
Support vector machine classification with indefinite kernels
R Luss, A d'Aspremont
Advances in neural information processing systems 20, 2007
Regularized nonlinear acceleration
D Scieur, A d'Aspremont, F Bach
Advances In Neural Information Processing Systems 29, 2016
Convex relaxations for permutation problems
F Fogel, R Jenatton, F Bach, A d'Aspremont
Advances in neural information processing systems 26, 2013
Sharpness, restart and acceleration
V Roulet, A d'Aspremont
Advances in Neural Information Processing Systems 30, 2017
Acceleration methods
A d’Aspremont, D Scieur, A Taylor
Foundations and Trends® in Optimization 5 (1-2), 1-245, 2021
Integration methods and optimization algorithms
D Scieur, V Roulet, F Bach, A d'Aspremont
Advances in Neural Information Processing Systems 30, 2017
Identifying small mean-reverting portfolios
A d'Aspremont
Quantitative Finance 11 (3), 351-364, 2011
Testing the nullspace property using semidefinite programming
A d’Aspremont, L El Ghaoui
Mathematical programming 127, 123-144, 2011
Optimal complexity and certification of Bregman first-order methods
RA Dragomir, AB Taylor, A d’Aspremont, J Bolte
Mathematical Programming, 1-43, 2022
Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions
Z Deng, P Ciais, ZA Tzompa-Sosa, M Saunois, C Qiu, C Tan, T Sun, P Ke, ...
Earth System Science Data 14 (4), 1639-1675, 2022
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