Damien Scieur
16 papers · 2016–2024 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (19) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze
π§¬
Topic Evolution
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Deep Specialist
(11)
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Keyword Champion
(2)
ποΈ
Keyword Collector
(67)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(14)
Mathematics & Optimization
(13)
Optimization & Theory Β· Machine Learning
(13)
Optimization
(12)
Deep Learning
(3)
Optimization & Theory Β· Deep Learning
(3)
Artificial Intelligence
(2)
Core AI
(2)
Mathematics
(2)
Application Areas
(1)
Architectures
(1)
Core Methods
(1)
Learning Types
(1)
Keywords
convergence rate
(5)
optimization method
(3)
average-case analysis
(3)
gradient descent
(3)
extrapolation method
(2)
momentum method
(2)
quasi-newton method
(2)
accelerated optimization
(2)
quadratic objective
(2)
convergence acceleration
(2)
variance reduction
(2)
polyak momentum
(2)
convex optimization
(2)
first-order method
(2)
bilinear game
(2)
spectral analysis
(1)
primal-dual algorithm
(1)
hierarchical classification
(1)
strongly convex
(1)
logistic regression
(1)
Papers
Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates
AISTATS 2024
Only tails matter: Average-Case Universality and Robustness in the Convex Regime
ICML 2022
Super-Acceleration with Cyclical Step-sizes
AISTATS 2022
The Curse of Unrolling: Rate of Differentiating Through Optimization
NeurIPS 2022
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets
ICML 2021
Average-case Acceleration for Bilinear Games and Normal Matrices
ICLR 2021
Connecting Sphere Manifolds Hierarchically for Regularization
ICML 2021
Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates
AISTATS 2021
Accelerating Smooth Games by Manipulating Spectral Shapes
AISTATS 2020
Acceleration through spectral density estimation
ICML 2020
Extra-gradient with player sampling for faster convergence in n-player games
ICML 2020
Universal Average-Case Optimality of Polyak Momentum
ICML 2020
Nonlinear Acceleration of Primal-Dual Algorithms
AISTATS 2019
Integration Methods and Optimization Algorithms
NeurIPS 2017
Nonlinear Acceleration of Stochastic Algorithms
NeurIPS 2017
Regularized Nonlinear Acceleration
NeurIPS 2016