Alexandre d'Aspremont

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 59

Top Venues

Publications

Quentin Peyle, Imene Ben Rejeb-Mzah, Baptiste Piofret, Antoine Benoit, Alexandre d'Aspremont, Adil El Yaalaoui
Modeling Methane Intensity of Oil and Gas Upstream Activities by Production Profile. CoRR (2024)
Fajwel Fogel, Yohann Perron, Nikola Besic, Laurent Saint-André, Agnès Pellissier-Tanon, Martin Schwartz, Thomas Boudras, Ibrahim Fayad, Alexandre d'Aspremont, Loïc Landrieu, Philippe Ciais
Open-Canopy: A Country-Scale Benchmark for Canopy Height Estimation at Very High Resolution. CoRR (2024)
Alexandre d'Aspremont, Cristóbal Guzmán, Clément Lezane
Optimal Algorithms for Stochastic Complementary Composite Minimization. SIAM J. Optim. 34 (1) (2024)
Armin Askari, Alexandre d'Aspremont, Laurent El Ghaoui
Naive Feature Selection: A Nearly Tight Convex Relaxation for Sparse Naive Bayes. Math. Oper. Res. 49 (1) (2024)
Raghu Bollapragada, Damien Scieur, Alexandre d'Aspremont
Nonlinear acceleration of momentum and primal-dual algorithms. Math. Program. 198 (1) (2023)
Thomas Kerdreux, Igor Colin, Alexandre d'Aspremont
Stable Bounds on the Duality Gap of Separable Nonconvex Optimization Problems. Math. Oper. Res. 48 (2) (2023)
Ibrahim Fayad, Philippe Ciais, Martin Schwartz, Jean-Pierre Wigneron, Nicolas N. Baghdadi, Aurélien de Truchis, Alexandre d'Aspremont, Frédéric Frappart, Sassan Saatchi, Agnes Pellissier-Tanon, Hassan Bazzi
Vision Transformers, a new approach for high-resolution and large-scale mapping of canopy heights. CoRR (2023)
Radu-Alexandru Dragomir, Adrien B. Taylor, Alexandre d'Aspremont, Jérôme Bolte
Optimal complexity and certification of Bregman first-order methods. Math. Program. 194 (1) (2022)
Alexandre d'Aspremont, Cristóbal Guzmán, Clément Lezane
Optimal Algorithms for Stochastic Complementary Composite Minimization. CoRR (2022)
Alexis Groshenry, Clément Giron, Thomas Lauvaux, Alexandre d'Aspremont, Thibaud Ehret
Detecting Methane Plumes using PRISMA: Deep Learning Model and Data Augmentation. CoRR (2022)
Mathieu Barré, Adrien B. Taylor, Alexandre d'Aspremont
Convergence of a Constrained Vector Extrapolation Scheme. SIAM J. Math. Data Sci. 4 (3) (2022)
Armin Askari, Alexandre d'Aspremont, Laurent El Ghaoui
Approximation Bounds for Sparse Programs. SIAM J. Math. Data Sci. 4 (2) (2022)
Thomas Kerdreux, Alexandre d'Aspremont, Sebastian Pokutta
Restarting Frank-Wolfe: Faster Rates under Hölderian Error Bounds. J. Optim. Theory Appl. 192 (3) (2022)
Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal
A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention. ICLR (2021)
Radu-Alexandru Dragomir, Alexandre d'Aspremont, Jérôme Bolte
Quartic First-Order Methods for Low-Rank Minimization. J. Optim. Theory Appl. 189 (2) (2021)
Thomas Kerdreux, Christophe Roux, Alexandre d'Aspremont, Sebastian Pokutta
Linear Bandits on Uniformly Convex Sets. J. Mach. Learn. Res. 22 (2021)
Alexandre d'Aspremont, Damien Scieur, Adrien Taylor
Acceleration Methods. CoRR (2021)
Armin Askari, Quentin Rebjock, Alexandre d'Aspremont, Laurent El Ghaoui
FANOK: Knockoffs in Linear Time. SIAM J. Math. Data Sci. 3 (3) (2021)
Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi
Ranking and synchronization from pairwise measurements via SVD. J. Mach. Learn. Res. 22 (2021)
Thomas Kerdreux, Christophe Roux, Alexandre d'Aspremont, Sebastian Pokutta
Linear Bandits on Uniformly Convex Sets. CoRR (2021)
Thomas Kerdreux, Alexandre d'Aspremont, Sebastian Pokutta
Local and Global Uniform Convexity Conditions. CoRR (2021)
Thomas Kerdreux, Alexandre d'Aspremont, Sebastian Pokutta
Projection-Free Optimization on Uniformly Convex Sets. AISTATS (2021)
Alexandre d'Aspremont, Damien Scieur, Adrien Taylor
Acceleration Methods. Found. Trends Optim. 5 (1-2) (2021)
Grégoire Mialon, Julien Mairal, Alexandre d'Aspremont
Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions. AISTATS (2020)
Damien Scieur, Alexandre d'Aspremont, Francis R. Bach
Regularized nonlinear acceleration. Math. Program. 179 (1) (2020)
Mathieu Barré, Adrien Taylor, Alexandre d'Aspremont
Convergence of Constrained Anderson Acceleration. CoRR (2020)
Mathieu Barré, Clément Giron, Matthieu Mazzolini, Alexandre d'Aspremont
Averaging Atmospheric Gas Concentration Data using Wasserstein Barycenters. CoRR (2020)
Alexandre d'Aspremont, Mert Pilanci
Global Convergence of Frank Wolfe on One Hidden Layer Networks. CoRR (2020)
Manon Romain, Alexandre d'Aspremont
A Bregman Method for Structure Learning on Sparse Directed Acyclic Graphs. CoRR (2020)
Armin Askari, Quentin Rebjock, Alexandre d'Aspremont, Laurent El Ghaoui
FANOK: Knockoffs in Linear Time. CoRR (2020)
Vincent Roulet, Alexandre d'Aspremont
Sharpness, Restart, and Acceleration. SIAM J. Optim. 30 (1) (2020)
François-Pierre Paty, Alexandre d'Aspremont, Marco Cuturi
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport. AISTATS (2020)
Armin Askari, Alexandre d'Aspremont, Laurent El Ghaoui
Naive Feature Selection: Sparsity in Naive Bayes. AISTATS (2020)
Mathieu Barré, Adrien Taylor, Alexandre d'Aspremont
Complexity Guarantees for Polyak Steps with Momentum. COLT (2020)
Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal
An Optimal Transport Kernel for Feature Aggregation and its Relationship to Attention. CoRR (2020)
Mathieu Barré, Adrien Taylor, Alexandre d'Aspremont
Complexity Guarantees for Polyak Steps with Momentum. CoRR (2020)
François-Pierre Paty, Alexandre d'Aspremont, Marco Cuturi
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport. CoRR (2019)
Anastasia Podosinnikova, Amelia Perry, Alexander S. Wein, Francis R. Bach, Alexandre d'Aspremont, David A. Sontag
Overcomplete Independent Component Analysis via SDP. AISTATS (2019)
Grégoire Mialon, Alexandre d'Aspremont, Julien Mairal
Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Function. CoRR (2019)
Thomas Kerdreux, Alexandre d'Aspremont, Sebastian Pokutta
Restarting Frank-Wolfe. AISTATS (2019)
Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi
Ranking and synchronization from pairwise measurements via SVD. CoRR (2019)
Raghu Bollapragada, Damien Scieur, Alexandre d'Aspremont
Nonlinear Acceleration of Primal-Dual Algorithms. AISTATS (2019)
Radu-Alexandru Dragomir, Adrien Taylor, Alexandre d'Aspremont, Jérôme Bolte
Optimal Complexity and Certification of Bregman First-Order Methods. CoRR (2019)
Anastasia Podosinnikova, Amelia Perry, Alexander S. Wein, Francis R. Bach, Alexandre d'Aspremont, David A. Sontag
Overcomplete Independent Component Analysis via SDP. CoRR (2019)
Armin Askari, Alexandre d'Aspremont, Laurent El Ghaoui
Naive Feature Selection: Sparsity in Naive Bayes. CoRR (2019)
Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach
Nonlinear Acceleration of CNNs. CoRR (2018)
Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach
Nonlinear Acceleration of CNNs. ICLR (Workshop) (2018)
Thomas Kerdreux, Fabian Pedregosa, Alexandre d'Aspremont
Frank-Wolfe with Subsampling Oracle. CoRR (2018)
Alexandre d'Aspremont, Cristóbal Guzmán, Martin Jaggi
Optimal Affine-Invariant Smooth Minimization Algorithms. SIAM J. Optim. 28 (3) (2018)
Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach
Nonlinear Acceleration of Deep Neural Networks. CoRR (2018)
Thomas Kerdreux, Fabian Pedregosa, Alexandre d'Aspremont
Frank-Wolfe with Subsampling Oracle. ICML (2018)
Antoine Recanati, Thomas Kerdreux, Alexandre d'Aspremont
Reconstructing Latent Orderings by Spectral Clustering. CoRR (2018)
Antoine Recanati, Thomas Brüls, Alexandre d'Aspremont
A spectral algorithm for fast de novo layout of uncorrected long nanopore reads. Bioinform. 33 (20) (2017)
Damien Scieur, Francis R. Bach, Alexandre d'Aspremont
Nonlinear Acceleration of Stochastic Algorithms. NIPS (2017)
Damien Scieur, Vincent Roulet, Francis R. Bach, Alexandre d'Aspremont
Integration Methods and Optimization Algorithms. NIPS (2017)
Vincent Roulet, Alexandre d'Aspremont
Sharpness, Restart and Acceleration. NIPS (2017)
Fajwel Fogel, Irène Waldspurger, Alexandre d'Aspremont
Phase retrieval for imaging problems. Math. Program. Comput. 8 (3) (2016)
Fajwel Fogel, Alexandre d'Aspremont, Milan Vojnovic
Spectral Ranking using Seriation. J. Mach. Learn. Res. 17 (2016)
Damien Scieur, Alexandre d'Aspremont, Francis R. Bach
Regularized Nonlinear Acceleration. NIPS (2016)
Irène Waldspurger, Alexandre d'Aspremont, Stéphane Mallat
Phase recovery, MaxCut and complex semidefinite programming. Math. Program. 149 (1-2) (2015)
Fajwel Fogel, Rodolphe Jenatton, Francis R. Bach, Alexandre d'Aspremont
Convex Relaxations for Permutation Problems. SIAM J. Matrix Anal. Appl. 36 (4) (2015)
Vincent Roulet, Fajwel Fogel, Alexandre d'Aspremont, Francis R. Bach
Supervised Clustering in the Data Cube. CoRR (2015)
Alexandre d'Aspremont, Noureddine El Karoui
A Stochastic Smoothing Algorithm for Semidefinite Programming. SIAM J. Optim. 24 (3) (2014)
Fajwel Fogel, Alexandre d'Aspremont, Milan Vojnovic
Spectral Ranking using Seriation. CoRR (2014)
Kevin Vervier, Pierre Mahé, Alexandre d'Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert
On Learning Matrices with Orthogonal Columns or Disjoint Supports. ECML/PKDD (3) (2014)
Fajwel Fogel, Alexandre d'Aspremont, Milan Vojnovic
SerialRank: Spectral Ranking using Seriation. NIPS (2014)
Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui
Approximation bounds for sparse principal component analysis. Math. Program. 148 (1-2) (2014)
Marco Cuturi, Alexandre d'Aspremont
Mean Reversion with a Variance Threshold. ICML (3) (2013)
Fajwel Fogel, Rodolphe Jenatton, Francis R. Bach, Alexandre d'Aspremont
Convex Relaxations for Permutation Problems. NIPS (2013)
Alexandre d'Aspremont, Noureddine El Karoui
Weak Recovery Conditions from Graph Partitioning Bounds and Order Statistics. Math. Oper. Res. 38 (2) (2013)
Alexandre d'Aspremont, Laurent El Ghaoui
Testing the nullspace property using semidefinite programming. Math. Program. 127 (1) (2011)
Alexandre d'Aspremont, Francis R. Bach, Inderjit S. Dhillon, Bin Yu
Preface. Math. Program. 127 (1) (2011)
Francis R. Bach, Selin Damla Ahipasaoglu, Alexandre d'Aspremont
Convex Relaxations for Subset Selection CoRR (2010)
Ronny Luss, Alexandre d'Aspremont
Support vector machine classification with indefinite kernels. Math. Program. Comput. 1 (2-3) (2009)
Marco Cuturi, Jean-Philippe Vert, Alexandre d'Aspremont
White Functionals for Anomaly Detection in Dynamical Systems. NIPS (2009)
Ronny Luss, Alexandre d'Aspremont
Support Vector Machine Classification with Indefinite Kernels CoRR (2008)
Ronny Luss, Alexandre d'Aspremont
A Cutting Plane Method for Multiple Kernel Learning CoRR (2008)
Alexandre d'Aspremont, Onureena Banerjee, Laurent El Ghaoui
First-Order Methods for Sparse Covariance Selection. SIAM J. Matrix Anal. Appl. 30 (1) (2008)
Alexandre d'Aspremont
Smooth Optimization with Approximate Gradient. SIAM J. Optim. 19 (3) (2008)
Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui
Optimal Solutions for Sparse Principal Component Analysis. J. Mach. Learn. Res. 9 (2008)
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data. J. Mach. Learn. Res. 9 (2008)
Alexandre d'Aspremont, Laurent El Ghaoui
A Semidefinite Relaxation for Air Traffic Flow Scheduling. RIVF (2007)
Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui
Full regularization path for sparse principal component analysis. ICML (2007)
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont
Model Selection Through Sparse Maximum Likelihood Estimation CoRR (2007)
Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui
Optimal Solutions for Sparse Principal Component Analysis CoRR (2007)
Ronny Luss, Alexandre d'Aspremont
Support Vector Machine Classification with Indefinite Kernels. NIPS (2007)
Ronny Luss, Alexandre d'Aspremont
Clustering and Feature Selection using Sparse Principal Component Analysis CoRR (2007)
Alexandre d'Aspremont
Identifying Small Mean Reverting Portfolios CoRR (2007)
Alexandre d'Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet
A Direct Formulation for Sparse PCA Using Semidefinite Programming. SIAM Rev. 49 (3) (2007)
Alexandre d'Aspremont, Laurent El Ghaoui
Static arbitrage bounds on basket option prices. Math. Program. 106 (3) (2006)
Alexandre d'Aspremont, Laurent El Ghaoui
A Semidefinite Relaxation for Air Traffic Flow Scheduling CoRR (2006)
Alexandre d'Aspremont, Devan Sohier, Arnab Nilim, Laurent El Ghaoui, Vu Duong
Optimal path planning for air traffic flow management under stochastic weather and capacity constraints. RIVF (2006)
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont, Georges Natsoulis
Convex optimization techniques for fitting sparse Gaussian graphical models. ICML (2006)
Frédéric Ferchaud, Alexandre d'Aspremont
Reallocation time calculation according to slot occupation rate. RIVF (2006)
Alexandre d'Aspremont
A Market Test for the Positivity of Arrow-Debreu Prices CoRR (2005)
Onureena Banerjee, Alexandre d'Aspremont, Laurent El Ghaoui
Sparse Covariance Selection via Robust Maximum Likelihood Estimation CoRR (2005)
Alexandre d'Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet
A direct formulation for sparse PCA using semidefinite programming CoRR (2004)
Alexandre d'Aspremont
Static versus Dynamic Arbitrage Bounds on Multivariate Option Prices CoRR (2004)
Alexandre d'Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet
A Direct Formulation for Sparse PCA Using Semidefinite Programming. NIPS (2004)
Alexandre d'Aspremont
Risk-Management Methods for the Libor Market Model Using Semidefinite Programming CoRR (2003)

Alexandre d'Aspremont.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Alexandre d'Aspremont