Alexandre d'Aspremont

According to our database, Alexandre d'Aspremont authored at least 78 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Optimal Algorithms for Stochastic Complementary Composite Minimization.

Alexandre d'Aspremont, Cristóbal Guzmán, Clément Lezane

SIAM J. Optim., March, 2024

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

2023

Stable Bounds on the Duality Gap of Separable Nonconvex Optimization Problems.

Thomas Kerdreux, Igor Colin, Alexandre d'Aspremont

Math. Oper. Res., May, 2023

Nonlinear acceleration of momentum and primal-dual algorithms.

Raghu Bollapragada, Damien Scieur, Alexandre d'Aspremont

Math. Program., March, 2023

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, Agnes Pellissier-Tanon, Hassan Bazzi

CoRR, 2023

2022

Convergence of a Constrained Vector Extrapolation Scheme.

Mathieu Barré, Adrien B. Taylor, Alexandre d'Aspremont

SIAM J. Math. Data Sci., 2022

Approximation Bounds for Sparse Programs.

Armin Askari, Alexandre d'Aspremont, Laurent El Ghaoui

SIAM J. Math. Data Sci., 2022

Optimal complexity and certification of Bregman first-order methods.

Radu-Alexandru Dragomir, Adrien B. Taylor, Alexandre d'Aspremont, Jérôme Bolte

Math. Program., 2022

Restarting Frank-Wolfe: Faster Rates under Hölderian Error Bounds.

Thomas Kerdreux, Alexandre d'Aspremont, Sebastian Pokutta

J. Optim. Theory Appl., 2022

Detecting Methane Plumes using PRISMA: Deep Learning Model and Data Augmentation.

Alexis Groshenry, Clément Giron, Thomas Lauvaux, Alexandre d'Aspremont, Thibaud Ehret

CoRR, 2022

2021

FANOK: Knockoffs in Linear Time.

Armin Askari, Quentin Rebjock, Alexandre d'Aspremont, Laurent El Ghaoui

SIAM J. Math. Data Sci., 2021

Quartic First-Order Methods for Low-Rank Minimization.

Radu-Alexandru Dragomir, Alexandre d'Aspremont, Jérôme Bolte

J. Optim. Theory Appl., 2021

Ranking and synchronization from pairwise measurements via SVD.

Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi

J. Mach. Learn. Res., 2021

Linear Bandits on Uniformly Convex Sets.

Thomas Kerdreux, Christophe Roux, Alexandre d'Aspremont, Sebastian Pokutta

J. Mach. Learn. Res., 2021

Acceleration Methods.

Alexandre d'Aspremont, Damien Scieur, Adrien B. Taylor

Found. Trends Optim., 2021

Local and Global Uniform Convexity Conditions.

Thomas Kerdreux, Alexandre d'Aspremont, Sebastian Pokutta

CoRR, 2021

A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention.

Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal

Proceedings of the 9th International Conference on Learning Representations, 2021

Projection-Free Optimization on Uniformly Convex Sets.

Thomas Kerdreux, Alexandre d'Aspremont, Sebastian Pokutta

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Sharpness, Restart, and Acceleration.

Vincent Roulet, Alexandre d'Aspremont

SIAM J. Optim., 2020

Regularized nonlinear acceleration.

Damien Scieur, Alexandre d'Aspremont, Francis R. Bach

Math. Program., 2020

A Bregman Method for Structure Learning on Sparse Directed Acyclic Graphs.

Manon Romain, Alexandre d'Aspremont

CoRR, 2020

Convergence of Constrained Anderson Acceleration.

Mathieu Barré, Adrien B. Taylor, Alexandre d'Aspremont

CoRR, 2020

Averaging Atmospheric Gas Concentration Data using Wasserstein Barycenters.

Mathieu Barré, Clément Giron, Matthieu Mazzolini, Alexandre d'Aspremont

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

Global Convergence of Frank Wolfe on One Hidden Layer Networks.

Alexandre d'Aspremont, Mert Pilanci

CoRR, 2020

Complexity Guarantees for Polyak Steps with Momentum.

Mathieu Barré, Adrien B. Taylor, Alexandre d'Aspremont

Proceedings of the Conference on Learning Theory, 2020

Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport.

François-Pierre Paty, Alexandre d'Aspremont, Marco Cuturi

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions.

Grégoire Mialon, Julien Mairal, Alexandre d'Aspremont

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Naive Feature Selection: Sparsity in Naive Bayes.

Armin Askari, Alexandre d'Aspremont, Laurent El Ghaoui

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Function.

Grégoire Mialon, Alexandre d'Aspremont, Julien Mairal

CoRR, 2019

Overcomplete Independent Component Analysis via SDP.

Anastasia Podosinnikova, Amelia Perry, Alexander S. Wein, Francis R. Bach, Alexandre d'Aspremont, David A. Sontag

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Restarting Frank-Wolfe.

Thomas Kerdreux, Alexandre d'Aspremont, Sebastian Pokutta

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Nonlinear Acceleration of Primal-Dual Algorithms.

Raghu Bollapragada, Damien Scieur, Alexandre d'Aspremont

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Optimal Affine-Invariant Smooth Minimization Algorithms.

Alexandre d'Aspremont, Cristóbal Guzmán, Martin Jaggi

SIAM J. Optim., 2018

Reconstructing Latent Orderings by Spectral Clustering.

Antoine Recanati, Thomas Kerdreux, Alexandre d'Aspremont

CoRR, 2018

Nonlinear Acceleration of Deep Neural Networks.

Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach

CoRR, 2018

Frank-Wolfe with Subsampling Oracle.

Thomas Kerdreux, Fabian Pedregosa, Alexandre d'Aspremont

Proceedings of the 35th International Conference on Machine Learning, 2018

Nonlinear Acceleration of CNNs.

Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

A spectral algorithm for fast de novo layout of uncorrected long nanopore reads.

Antoine Recanati, Thomas Brüls, Alexandre d'Aspremont

Bioinform., 2017

Integration Methods and Optimization Algorithms.

Damien Scieur, Vincent Roulet, Francis R. Bach, Alexandre d'Aspremont

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Nonlinear Acceleration of Stochastic Algorithms.

Damien Scieur, Francis R. Bach, Alexandre d'Aspremont

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Phase retrieval for imaging problems.

Fajwel Fogel, Irène Waldspurger, Alexandre d'Aspremont

Math. Program. Comput., 2016

Spectral Ranking using Seriation.

Fajwel Fogel, Alexandre d'Aspremont, Milan Vojnovic

J. Mach. Learn. Res., 2016

2015

Convex Relaxations for Permutation Problems.

Fajwel Fogel, Rodolphe Jenatton, Francis R. Bach, Alexandre d'Aspremont

SIAM J. Matrix Anal. Appl., 2015

Phase recovery, MaxCut and complex semidefinite programming.

Irène Waldspurger, Alexandre d'Aspremont, Stéphane Mallat

Math. Program., 2015

Supervised Clustering in the Data Cube.

Vincent Roulet, Fajwel Fogel, Alexandre d'Aspremont, Francis R. Bach

CoRR, 2015

2014

A Stochastic Smoothing Algorithm for Semidefinite Programming.

Alexandre d'Aspremont, Noureddine El Karoui

SIAM J. Optim., 2014

Approximation bounds for sparse principal component analysis.

Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui

Math. Program., 2014

On Learning Matrices with Orthogonal Columns or Disjoint Supports.

Kevin Vervier, Pierre Mahé, Alexandre d'Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

SerialRank: Spectral Ranking using Seriation.

Fajwel Fogel, Alexandre d'Aspremont, Milan Vojnovic

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Weak Recovery Conditions from Graph Partitioning Bounds and Order Statistics.

Alexandre d'Aspremont, Noureddine El Karoui

Math. Oper. Res., 2013

Mean Reversion with a Variance Threshold.

Marco Cuturi, Alexandre d'Aspremont

Proceedings of the 30th International Conference on Machine Learning, 2013

2011

Testing the nullspace property using semidefinite programming.

Alexandre d'Aspremont, Laurent El Ghaoui

Math. Program., 2011

Preface.

Alexandre d'Aspremont, Francis R. Bach, Inderjit S. Dhillon, Bin Yu

Math. Program., 2011

2010

Convex Relaxations for Subset Selection

Francis R. Bach, Selin Damla Ahipasaoglu, Alexandre d'Aspremont

CoRR, 2010

2009

Support vector machine classification with indefinite kernels.

Ronny Luss, Alexandre d'Aspremont

Math. Program. Comput., 2009

White Functionals for Anomaly Detection in Dynamical Systems.

Marco Cuturi, Jean-Philippe Vert, Alexandre d'Aspremont

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

First-Order Methods for Sparse Covariance Selection.

Alexandre d'Aspremont, Onureena Banerjee, Laurent El Ghaoui

SIAM J. Matrix Anal. Appl., 2008

Smooth Optimization with Approximate Gradient.

Alexandre d'Aspremont

SIAM J. Optim., 2008

Optimal Solutions for Sparse Principal Component Analysis.

Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui

J. Mach. Learn. Res., 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

A Cutting Plane Method for Multiple Kernel Learning

Ronny Luss, Alexandre d'Aspremont

CoRR, 2008

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

Identifying Small Mean Reverting Portfolios

Alexandre d'Aspremont

CoRR, 2007

Model Selection Through Sparse Maximum Likelihood Estimation

Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont

CoRR, 2007

Clustering and Feature Selection using Sparse Principal Component Analysis

Ronny Luss, Alexandre d'Aspremont

CoRR, 2007

A Semidefinite Relaxation for Air Traffic Flow Scheduling.

Alexandre d'Aspremont, Laurent El Ghaoui

Proceedings of the 2007 IEEE International Conference on Research, 2007

Full regularization path for sparse principal component analysis.

Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui

Proceedings of the Machine Learning, 2007

2006

Static arbitrage bounds on basket option prices.

Alexandre d'Aspremont, Laurent El Ghaoui

Math. Program., 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

Proceedings of the 4th International Confernce on Computer Sciences: Research, 2006

Reallocation time calculation according to slot occupation rate.

Frédéric Ferchaud, Alexandre d'Aspremont

Proceedings of the 4th International Confernce on Computer Sciences: Research, 2006

Convex optimization techniques for fitting sparse Gaussian graphical models.

Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont, Georges Natsoulis

Proceedings of the Machine Learning, 2006

2005

A Market Test for the Positivity of Arrow-Debreu Prices

Alexandre d'Aspremont

CoRR, 2005

Sparse Covariance Selection via Robust Maximum Likelihood Estimation

Onureena Banerjee, Alexandre d'Aspremont, Laurent El Ghaoui

CoRR, 2005

2004

Static versus Dynamic Arbitrage Bounds on Multivariate Option Prices

Alexandre d'Aspremont

CoRR, 2004

2003

Risk-Management Methods for the Libor Market Model Using Semidefinite Programming

Alexandre d'Aspremont

CoRR, 2003

Interest Rate Model Calibration Using Semidefinite Programming

Alexandre d'Aspremont

CoRR, 2003

A semidefinite representation for some minimum cardinality problems.

Alexandre d'Aspremont

Proceedings of the 42nd IEEE Conference on Decision and Control, 2003