Alexandre D'aspremont
15 papers · 2007–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (42) π Conference Polyglot Β· Bronze π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Gold π Academic Marathon Β· Full
π
Keyword Champion
(2)
π
Trend Setter
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(92)
Venues
Top co-authors
Research topics
Machine Learning
(13)
Mathematics & Optimization
(11)
Optimization & Theory
(9)
Core Methods
(8)
Optimization
(8)
Mathematics
(6)
Deep Learning
(3)
Architectures
(3)
Computer Vision
(2)
Analysis
(2)
Learning Types
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Keywords
convex optimization
(4)
stochastic optimization
(2)
seriation algorithm
(2)
ranking reconstruction
(2)
similarity matrix
(2)
gradient descent
(2)
matrix optimization
(2)
spectral ranking
(2)
pairwise comparison
(2)
kernel methods
(2)
anomaly detection
(1)
optimal transport
(1)
attention mechanism
(1)
robust classification
(1)
embedding learning
(1)
online learning
(1)
convergence acceleration
(1)
accelerated optimization
(1)
sparse principal component analysis
(1)
change detection
(1)
Papers
Open-Canopy: Towards Very High Resolution Forest Monitoring
CVPR 2025
A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention
ICLR 2021
Linear Bandits on Uniformly Convex Sets
JMLR 2021
Ranking and synchronization from pairwise measurements via SVD
JMLR 2021
Integration Methods and Optimization Algorithms
NeurIPS 2017
Nonlinear Acceleration of Stochastic Algorithms
NeurIPS 2017
Sharpness, Restart and Acceleration
NeurIPS 2017
Regularized Nonlinear Acceleration
NeurIPS 2016
Spectral Ranking using Seriation
JMLR 2016
SerialRank: Spectral Ranking using Seriation
NeurIPS 2014
Convex Relaxations for Permutation Problems
NeurIPS 2013
White Functionals for Anomaly Detection in Dynamical Systems
NeurIPS 2009
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
JMLR 2008
Optimal Solutions for Sparse Principal Component Analysis
JMLR 2008
Support Vector Machine Classification with Indefinite Kernels
NeurIPS 2007