Publications associées à Accelerated ADMM based on Accelerated Douglas-Rachford Splitting

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A first-order primal-dual method with adaptivity to local smoothness

Volkan Cevher, Maria-Luiza Vladarean

We consider the problem of finding a saddle point for the convex-concave objective

\min_x \max_y f(x) + \langle Ax, y\rangle - g^*(y)

, where

f

is a convex function with locally Lipschitz gradient and

g

is convex and possibly non-smooth. We propose an ...

2021

Accelerated ADMM based on Accelerated Douglas-Rachford Splitting

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Complexity analysis of stochastic gradient methods for PDE-constrained optimal control problems with uncertain parameters

On the nonlinear Dirichlet-Neumann method and preconditioner for Newton's method

STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization

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A first-order primal-dual method with adaptivity to local smoothness

Efficient algorithms for wave problems

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Multi space reduced basis preconditioners for parametrized Stokes equations

On flexible Green function methods for atomistic/continuum coupling

STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization

Complexity analysis of stochastic gradient methods for PDE-constrained optimal control problems with uncertain parameters

Efficient algorithms for wave problems

On flexible Green function methods for atomistic/continuum coupling

Large Steps in Inverse Rendering of Geometry

A first-order primal-dual method with adaptivity to local smoothness

Multi space reduced basis preconditioners for parametrized Stokes equations

On the nonlinear Dirichlet-Neumann method and preconditioner for Newton's method

Computational Inverse Design of Surface-based Inflatables

Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem