Publications associées à Vitesse de convergence des suites

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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

Vitesse de convergence des suites

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

Remarks on Poincare and interpolation estimates for Truncated Hierarchical B-splines

Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates

Optimization Methods for Control: From Embedded Programmable Hardware to Data-Driven Process Optimization

On the preconditioning of the INTERNODES matrix for applications in contact mechanics

Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation

Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills

LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads

Sub‐asymptotic motivation for new conditional multivariate extreme models

Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity

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

Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills

On the preconditioning of the INTERNODES matrix for applications in contact mechanics

Remarks on Poincare and interpolation estimates for Truncated Hierarchical B-splines

Optimization Methods for Control: From Embedded Programmable Hardware to Data-Driven Process Optimization

Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates

Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation

Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity

Sub‐asymptotic motivation for new conditional multivariate extreme models

LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads