Damien Scieur
16 papers · 2016–2024 · 4 conferences · across top CS/AI conferences
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Conferences
ICML (6)
AISTATS (5)
NIPS (4)
ICLR (1)
Top co-authors
Keywords
convergence rate
(5)
gradient descent
(3)
momentum method
(2)
polyak momentum
(2)
variance reduction
(2)
convex optimization
(2)
quadratic objective
(2)
optimization method
(2)
accelerated optimization
(2)
average-case analysis
(2)
extrapolation method
(2)
quasi-newton method
(2)
convergence acceleration
(2)
hessian approximation
(1)
spectral analysis
(1)
hierarchical classification
(1)
strongly convex
(1)
logistic regression
(1)
stochastic gradient
(1)
nash equilibrium
(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
The Curse of Unrolling: Rate of Differentiating Through Optimization
NIPS 2022
Super-Acceleration with Cyclical Step-sizes
AISTATS 2022
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets
ICML 2021
Average-case Acceleration for Bilinear Games and Normal Matrices
ICLR 2021
Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates
AISTATS 2021
Connecting Sphere Manifolds Hierarchically for Regularization
ICML 2021
Extra-gradient with player sampling for faster convergence in n-player games
ICML 2020
Accelerating Smooth Games by Manipulating Spectral Shapes
AISTATS 2020
Acceleration through spectral density estimation
ICML 2020
Universal Average-Case Optimality of Polyak Momentum
ICML 2020
Nonlinear Acceleration of Primal-Dual Algorithms
AISTATS 2019
Integration Methods and Optimization Algorithms
NIPS 2017
Nonlinear Acceleration of Stochastic Algorithms
NIPS 2017
Regularized Nonlinear Acceleration
NIPS 2016