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Linear Bandits on Uniformly Convex Sets

Thomas Kerdreux , Christophe Roux , Alexandre d'Aspremont , Sebastian Pokutta
2021
Pré-publication, Document de travail hal-03379835v1

A Bregman Method for Structure Learning on Sparse Directed Acyclic Graphs

Manon Romain , Alexandre d'Aspremont
2021
Pré-publication, Document de travail hal-03165618v1

Complexity Guarantees for Polyak Steps with Momentum

Mathieu Barré , Adrien Taylor , Alexandre d'Aspremont
COLT 2020 - 33rd Annual Conference on Learning Theory, Jul 2020, Graz / Virtual, Austria
Communication dans un congrès hal-02470997v1

On learning matrices with orthogonal columns or disjoint supports

Kevin Vervier , Pierre Mahé , Alexandre d'Aspremont , Jean-Baptiste Veyrieras , Jean-Philippe Vert
European Conference, ECML PKDD 2014, Sep 2014, Nancy, France. pp.274-289, ⟨10.1007/978-3-662-44845-8_18⟩
Communication dans un congrès hal-01101875v1
Image document

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

Grégoire Mialon , Dexiong Chen , Alexandre d'Aspremont , Julien Mairal
ICLR 2021 - The Ninth International Conference on Learning Representations, May 2021, Virtual, France
Communication dans un congrès hal-02883436v3

Overcomplete Independent Component Analysis via SDP

Anastasia Podosinnikova , Amelia Perry , Alexander Wein , Francis Bach , Alexandre d'Aspremont , et al.
AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Japan
Communication dans un congrès hal-02340366v1
Image document

Sharpness, Restart and Acceleration

Vincent Roulet , Alexandre d'Aspremont
2017
Pré-publication, Document de travail hal-01474362v1

FANOK: Knockoffs in Linear Time

Armin Askari , Quentin Rebjock , Alexandre d'Aspremont , Laurent El Ghaoui
2020
Pré-publication, Document de travail hal-02983262v1

An Oblivious Stochastic Composite Optimization Algorithm for Eigenvalue Optimization Problems

Clément Lezane , Cristóbal Guzmán , Alexandre d'Aspremont
2023
Pré-publication, Document de travail hal-04230909v1
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Sharpness, Restart and Acceleration

Vincent Roulet , Alexandre d'Aspremont
SIAM Journal on Optimization, 2020, 30 (1), pp.262-289. ⟨10.1137/18M1224568⟩
Article dans une revue hal-02983236v1

Phase retrieval for imaging problems

Fajwel Fogel , Irène Waldspurger , Alexandre d'Aspremont
Mathematical Programming Computation, 2016, 8 (3), pp.311-335. ⟨10.1007/s12532-016-0103-0⟩
Article dans une revue hal-00907529v1

Convex Relaxations for Permutation Problems

Fajwel Fogel , Rodolphe Jenatton , Francis Bach , Alexandre d'Aspremont
Neural Information Processing Systems (NIPS) 2013, Dec 2013, United States. http://nips.cc/Conferences/2013/Program/speaker-info.php?ID=12863
Communication dans un congrès hal-00907528v1

An Approximate Shapley-Folkman Theorem

Thomas Kerdreux , Igor Colin , Alexandre d'Aspremont
2020
Pré-publication, Document de travail hal-02983258v1

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

François-Pierre Paty , Alexandre d'Aspremont , Marco Cuturi
AISTATS 2020 - 23rd International Conference on Artificial Intelligence and Statistics, Jun 2020, Palermo / Virtual, Italy
Communication dans un congrès hal-02340371v1

Stable Bounds on the Duality Gap of Separable Nonconvex Optimization Problems

Thomas Kerdreux , Igor Colin , Alexandre d'Aspremont
Mathematics of Operations Research, 2022, ⟨10.1287/moor.2022.1291⟩
Article dans une revue hal-03837876v1

Learning with Clustering Structure

Vincent Roulet , Fajwel Fogel , Alexandre d'Aspremont , Francis Bach
2016
Pré-publication, Document de travail hal-01239305v1
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Nonlinear Acceleration of CNNs

Damien Scieur , Edouard Oyallon , Alexandre d'Aspremont , Francis Bach
ICLR Workshop track, Apr 2018, Vancouver, Canada
Communication dans un congrès hal-01805251v3
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Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions

Zhu Deng , Philippe Ciais , Zitely A. Tzompa-Sosa , Marielle Saunois , Chunjing Qiu , et al.
Earth System Science Data, 2022, 14, pp.1639-1675. ⟨10.5194/essd-14-1639-2022⟩
Article dans une revue insu-03659874v1

Renegar's Condition Number and Compressed Sensing Performance

Vincent Roulet , Nicolas Boumal , Alexandre d'Aspremont
2015
Pré-publication, Document de travail hal-01239310v1
Image document

Iterative hard clustering of features

Vincent Roulet , Fajwel Fogel , Alexandre d'Aspremont , Francis Bach
2017
Pré-publication, Document de travail hal-01664964v1

Approximation Bounds for Sparse Programs

Armin Askari , Alexandre d'Aspremont , Laurent El Ghaoui
SIAM Journal on Mathematics of Data Science, 2022, 4 (2), pp.514-530. ⟨10.1137/21M1398677⟩
Article dans une revue hal-03165622v1

Nonlinear Acceleration of Momentum and Primal-Dual Algorithms

Raghu Bollapragada , Damien Scieur , Alexandre d'Aspremont
Mathematical Programming, Series A, 2022, pp.1-38. ⟨10.1007/s10107-022-01775-x⟩
Article dans une revue hal-01893921v1

Coherent Diffractive Imaging Using Randomly Coded Masks

Matthew H. Seaberg , Alexandre d'Aspremont , Joshua J. Turner
Applied Physics Letters, 2015, 107 (23), pp.231103
Article dans une revue hal-01239315v1

Spectral Ranking using Seriation

Fajwel Fogel , Alexandre d'Aspremont , Milan Vojnovic
Neural Information Processing Systems (NIPS), Dec 2014, Montréal, Canada
Communication dans un congrès hal-01092658v1
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Mean Reversion with a Variance Threshold

Marco Cuturi , Alexandre d'Aspremont
International Conference on Machine Learning, Jun 2013, United States. pp.271-279
Communication dans un congrès hal-00939566v1

Optimal Affine-Invariant Smooth Minimization Algorithms

Alexandre d'Aspremont , Cristobal Guzman , Martin Jaggi
SIAM Journal on Optimization, 2018, 28 (3), pp.2384 - 2405. ⟨10.1137/17M1116842⟩
Article dans une revue hal-01927392v1

Quartic First-Order Methods for Low Rank Minimization

Radu-Alexandru Dragomir , Alexandre d'Aspremont , Jérôme Bolte
2019
Pré-publication, Document de travail hal-02340369v1

An Optimal Affine Invariant Smooth Minimization Algorithm

Alexandre d'Aspremont , Cristóbal Guzmán , Martin Jaggi
2013
Pré-publication, Document de travail hal-00907547v1

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

Alexis Groshenry , Clement Giron , Thomas Lauvaux , Alexandre d'Aspremont , Thibaud Ehret
NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning., Dec 2022, Vancouver (BC), Canada
Communication dans un congrès hal-04230898v1

Subsampling Algorithms for Semidefinite Programming

Alexandre d'Aspremont
Stochastic Systems, 2011, 1 (2), http://www.i-journals.org/ssy/viewarticle.php?id=18&layout=abstract
Article dans une revue hal-00907539v1