A semidefinite representation for some minimum cardinality problems. - Alexandre d'Aspremont (CDC, 2003)

Interest Rate Model Calibration Using Semidefinite Programming - Alexandre d'Aspremont (CoRR, 2003)

Risk-Management Methods for the Libor Market Model Using Semidefinite Programming - Alexandre d'Aspremont (CoRR, 2003)

Static versus Dynamic Arbitrage Bounds on Multivariate Option Prices - Alexandre d'Aspremont (CoRR, 2004)

Sparse Covariance Selection via Robust Maximum Likelihood Estimation - Onureena Banerjee; Alexandre d'Aspremont; Laurent El Ghaoui (CoRR, 2005)

A Market Test for the Positivity of Arrow-Debreu Prices - Alexandre d'Aspremont (CoRR, 2005)

Convex optimization techniques for fitting sparse Gaussian graphical models. - Onureena Banerjee; Laurent El Ghaoui; Alexandre d'Aspremont; Georges Natsoulis (ICML, 2006)

Reallocation time calculation according to slot occupation rate. - Frédéric Ferchaud; Alexandre d'Aspremont (RIVF, 2006)

Optimal path planning for air traffic flow management under stochastic weather and capacity constraints. - Alexandre d'Aspremont; Devan Sohier; Arnab Nilim; Laurent El Ghaoui; Vu Duong (RIVF, 2006)

Static arbitrage bounds on basket option prices. - Alexandre d'Aspremont; Laurent El Ghaoui (Math. Program., 2006)

Full regularization path for sparse principal component analysis. - Alexandre d'Aspremont; Francis R. Bach; Laurent El Ghaoui (ICML, 2007)

A Semidefinite Relaxation for Air Traffic Flow Scheduling. - Alexandre d'Aspremont; Laurent El Ghaoui (RIVF, 2007)

Clustering and Feature Selection using Sparse Principal Component Analysis - Ronny Luss; Alexandre d'Aspremont (CoRR, 2007)

Model Selection Through Sparse Maximum Likelihood Estimation - Onureena Banerjee; Laurent El Ghaoui; Alexandre d'Aspremont (CoRR, 2007)

Identifying Small Mean Reverting Portfolios - Alexandre d'Aspremont (CoRR, 2007)

A Direct Formulation for Sparse PCA Using Semidefinite Programming. - Alexandre d'Aspremont; Laurent El Ghaoui; Michael I. Jordan; Gert R. G. Lanckriet (SIAM Rev., 2007)

A Cutting Plane Method for Multiple Kernel Learning - Ronny Luss; Alexandre d'Aspremont (CoRR, 2008)

Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data. - Onureena Banerjee; Laurent El Ghaoui; Alexandre d'Aspremont (J. Mach. Learn. Res., 2008)

Optimal Solutions for Sparse Principal Component Analysis. - Alexandre d'Aspremont; Francis R. Bach; Laurent El Ghaoui (J. Mach. Learn. Res., 2008)

Smooth Optimization with Approximate Gradient. - Alexandre d'Aspremont (SIAM J. Optim., 2008)

First-Order Methods for Sparse Covariance Selection. - Alexandre d'Aspremont; Onureena Banerjee; Laurent El Ghaoui (SIAM J. Matrix Anal. Appl., 2008)

White Functionals for Anomaly Detection in Dynamical Systems. - Marco Cuturi; Jean-Philippe Vert; Alexandre d'Aspremont (NIPS, 2009)

Support vector machine classification with indefinite kernels. - Ronny Luss; Alexandre d'Aspremont (Math. Program. Comput., 2009)

Convex Relaxations for Subset Selection - Francis R. Bach; Selin Damla Ahipasaoglu; Alexandre d'Aspremont (CoRR, 2010)

Preface. - Alexandre d'Aspremont; Francis R. Bach; Inderjit S. Dhillon; Bin Yu 001 (Math. Program., 2011)

Testing the nullspace property using semidefinite programming. - Alexandre d'Aspremont; Laurent El Ghaoui (Math. Program., 2011)

Mean Reversion with a Variance Threshold. - Marco Cuturi; Alexandre d'Aspremont (ICML (3), 2013)

Weak Recovery Conditions from Graph Partitioning Bounds and Order Statistics. - Alexandre d'Aspremont; Noureddine El Karoui (Math. Oper. Res., 2013)

SerialRank: Spectral Ranking using Seriation. - Fajwel Fogel; Alexandre d'Aspremont; Milan Vojnovic (NIPS, 2014)

On Learning Matrices with Orthogonal Columns or Disjoint Supports. - Kevin Vervier; Pierre Mahé; Alexandre d'Aspremont; Jean-Baptiste Veyrieras; Jean-Philippe Vert (ECML/PKDD (3), 2014)

Approximation bounds for sparse principal component analysis. - Alexandre d'Aspremont; Francis R. Bach; Laurent El Ghaoui (Math. Program., 2014)

A Stochastic Smoothing Algorithm for Semidefinite Programming. - Alexandre d'Aspremont; Noureddine El Karoui (SIAM J. Optim., 2014)

Supervised Clustering in the Data Cube. - Vincent Roulet; Fajwel Fogel; Alexandre d'Aspremont; Francis R. Bach (CoRR, 2015)

Phase recovery, MaxCut and complex semidefinite programming. - Irène Waldspurger; Alexandre d'Aspremont; Stéphane Mallat (Math. Program., 2015)

Convex Relaxations for Permutation Problems. - Fajwel Fogel; Rodolphe Jenatton; Francis R. Bach; Alexandre d'Aspremont (SIAM J. Matrix Anal. Appl., 2015)

Spectral Ranking using Seriation. - Fajwel Fogel; Alexandre d'Aspremont; Milan Vojnovic (J. Mach. Learn. Res., 2016)

Phase retrieval for imaging problems. - Fajwel Fogel; Irène Waldspurger; Alexandre d'Aspremont (Math. Program. Comput., 2016)

Nonlinear Acceleration of Stochastic Algorithms. - Damien Scieur; Francis R. Bach; Alexandre d'Aspremont (NIPS, 2017)

Integration Methods and Optimization Algorithms. - Damien Scieur; Vincent Roulet; Francis R. Bach; Alexandre d'Aspremont (NIPS, 2017)

A spectral algorithm for fast de novo layout of uncorrected long nanopore reads. - Antoine Recanati; Thomas Brüls; Alexandre d'Aspremont (Bioinform., 2017)

Nonlinear Acceleration of CNNs. - Damien Scieur; Edouard Oyallon; Alexandre d'Aspremont; Francis R. Bach (ICLR (Workshop), 2018)

Frank-Wolfe with Subsampling Oracle. - Thomas Kerdreux; Fabian Pedregosa; Alexandre d'Aspremont (ICML, 2018)

Nonlinear Acceleration of Deep Neural Networks. - Damien Scieur; Edouard Oyallon; Alexandre d'Aspremont; Francis R. Bach (CoRR, 2018)

Reconstructing Latent Orderings by Spectral Clustering. - Antoine Recanati; Thomas Kerdreux; Alexandre d'Aspremont (CoRR, 2018)

Optimal Affine-Invariant Smooth Minimization Algorithms. - Alexandre d'Aspremont; Cristóbal Guzmán; Martin Jaggi (SIAM J. Optim., 2018)

Nonlinear Acceleration of Primal-Dual Algorithms. - Raghu Bollapragada; Damien Scieur; Alexandre d'Aspremont (AISTATS, 2019)

Restarting Frank-Wolfe. - Thomas Kerdreux; Alexandre d'Aspremont; Sebastian Pokutta (AISTATS, 2019)

Overcomplete Independent Component Analysis via SDP. - Anastasia Podosinnikova; Amelia Perry; Alexander S. Wein; Francis R. Bach; Alexandre d'Aspremont; David A. Sontag (AISTATS, 2019)

Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Function. - Grégoire Mialon; Alexandre d'Aspremont; Julien Mairal (CoRR, 2019)

Naive Feature Selection: Sparsity in Naive Bayes. - Armin Askari; Alexandre d'Aspremont; Laurent El Ghaoui (AISTATS, 2020)

Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions. - Grégoire Mialon; Julien Mairal; Alexandre d'Aspremont (AISTATS, 2020)

Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport. - François-Pierre Paty; Alexandre d'Aspremont; Marco Cuturi (AISTATS, 2020)

Complexity Guarantees for Polyak Steps with Momentum. - Mathieu Barré; Adrien B. Taylor; Alexandre d'Aspremont (COLT, 2020)

Global Convergence of Frank Wolfe on One Hidden Layer Networks. - Alexandre d'Aspremont; Mert Pilanci (CoRR, 2020)

An Optimal Transport Kernel for Feature Aggregation and its Relationship to Attention. - Grégoire Mialon; Dexiong Chen; Alexandre d'Aspremont; Julien Mairal (CoRR, 2020)

Averaging Atmospheric Gas Concentration Data using Wasserstein Barycenters. - Mathieu Barré; Clément Giron; Matthieu Mazzolini; Alexandre d'Aspremont (CoRR, 2020)

Convergence of Constrained Anderson Acceleration. - Mathieu Barré; Adrien B. Taylor; Alexandre d'Aspremont (CoRR, 2020)

A Bregman Method for Structure Learning on Sparse Directed Acyclic Graphs. - Manon Romain; Alexandre d'Aspremont (CoRR, 2020)

Regularized nonlinear acceleration. - Damien Scieur; Alexandre d'Aspremont; Francis R. Bach (Math. Program., 2020)

Sharpness, Restart, and Acceleration. - Vincent Roulet; Alexandre d'Aspremont (SIAM J. Optim., 2020)

Projection-Free Optimization on Uniformly Convex Sets. - Thomas Kerdreux; Alexandre d'Aspremont; Sebastian Pokutta (AISTATS, 2021)

A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention. - Grégoire Mialon; Dexiong Chen; Alexandre d'Aspremont; Julien Mairal (ICLR, 2021)

Local and Global Uniform Convexity Conditions. - Thomas Kerdreux; Alexandre d'Aspremont; Sebastian Pokutta (CoRR, 2021)

Acceleration Methods. - Alexandre d'Aspremont; Damien Scieur; Adrien B. Taylor (Found. Trends Optim., 2021)

Linear Bandits on Uniformly Convex Sets. - Thomas Kerdreux; Christophe Roux; Alexandre d'Aspremont; Sebastian Pokutta (J. Mach. Learn. Res., 2021)

Ranking and synchronization from pairwise measurements via SVD. - Alexandre d'Aspremont; Mihai Cucuringu; Hemant Tyagi (J. Mach. Learn. Res., 2021)

Quartic First-Order Methods for Low-Rank Minimization. - Radu-Alexandru Dragomir; Alexandre d'Aspremont; Jérôme Bolte (J. Optim. Theory Appl., 2021)

FANOK: Knockoffs in Linear Time. - Armin Askari; Quentin Rebjock; Alexandre d'Aspremont; Laurent El Ghaoui (SIAM J. Math. Data Sci., 2021)

Detecting Methane Plumes using PRISMA: Deep Learning Model and Data Augmentation. - Alexis Groshenry; Clément Giron; Thomas Lauvaux; Alexandre d'Aspremont; Thibaud Ehret (CoRR, 2022)

Restarting Frank-Wolfe: Faster Rates under Hölderian Error Bounds. - Thomas Kerdreux; Alexandre d'Aspremont; Sebastian Pokutta (J. Optim. Theory Appl., 2022)

Optimal complexity and certification of Bregman first-order methods. - Radu-Alexandru Dragomir; Adrien B. Taylor; Alexandre d'Aspremont; Jérôme Bolte (Math. Program., 2022)

Approximation Bounds for Sparse Programs. - Armin Askari; Alexandre d'Aspremont; Laurent El Ghaoui (SIAM J. Math. Data Sci., 2022)

Convergence of a Constrained Vector Extrapolation Scheme. - Mathieu Barré; Adrien B. Taylor; Alexandre d'Aspremont (SIAM J. Math. Data Sci., 2022)

Vision Transformers, a new approach for high-resolution and large-scale mapping of canopy heights. - Ibrahim Fayad; Philippe Ciais; Martin Schwartz; Jean-Pierre Wigneron; Nicolas N. Baghdadi; Aurélien de Truchis; Alexandre d'Aspremont; Frédéric Frappart; Sassan Saatchi; Agnès Pellissier-Tanon; Hassan Bazzi (CoRR, 2023)

Nonlinear acceleration of momentum and primal-dual algorithms. - Raghu Bollapragada; Damien Scieur; Alexandre d'Aspremont (Math. Program., 2023)

Stable Bounds on the Duality Gap of Separable Nonconvex Optimization Problems. - Thomas Kerdreux; Igor Colin; Alexandre d'Aspremont (Math. Oper. Res., 2023)

Modeling Methane Intensity of Oil and Gas Upstream Activities by Production Profile. - Quentin Peyle; Imene Ben Rejeb-Mzah; Baptiste Piofret; Antoine Benoit; Alexandre d'Aspremont; Adil El Yaalaoui (CoRR, 2024)

Open-Canopy: A Country-Scale Benchmark for Canopy Height Estimation at Very High Resolution. - 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 (CoRR, 2024)

Naive Feature Selection: A Nearly Tight Convex Relaxation for Sparse Naive Bayes. - Armin Askari; Alexandre d'Aspremont; Laurent El Ghaoui (Math. Oper. Res., 2024)

Optimal Algorithms for Stochastic Complementary Composite Minimization. - Alexandre d'Aspremont; Cristóbal Guzmán; Clément Lezane (SIAM J. Optim., 2024)

Open-Canopy: Towards Very High Resolution Forest Monitoring. - 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 (CVPR, 2025)

DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications. - Ibrahim Fayad; Max Zimmer; Martin Schwartz; Philippe Ciais; Fabian Gieseke; Gabriel Belouze; Sarah Brood; Aurélien de Truchis; Alexandre d'Aspremont (CoRR, 2025)