Publications associées à A Newton Frank-Wolfe method for constrained self-concordant minimization

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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

A Newton Frank-Wolfe method for constrained self-concordant minimization

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A Combination Technique for Optimal Control Problems Constrained by Random PDEs

Stability of Image-Reconstruction Algorithms

Predicting in Uncertain Environments: Methods for Robust Machine Learning

Computational Inverse Design of Surface-based Inflatables

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

Adaptive Gradient Descent without Descent

A Unifying Representer Theorem for Inverse Problems and Machine Learning

Vulnérabilité sismique à grande échelle de la ville de Lausanne

Allocation of Active Power Reserve from Active Distribution Networks Using a Cost-Benefit Approach: Application to Swissgrid Network

A Combination Technique for Optimal Control Problems Constrained by Random PDEs

Predicting in Uncertain Environments: Methods for Robust Machine Learning

A Unifying Representer Theorem for Inverse Problems and Machine Learning

Allocation of Active Power Reserve from Active Distribution Networks Using a Cost-Benefit Approach: Application to Swissgrid Network

Vulnérabilité sismique à grande échelle de la ville de Lausanne

Adaptive Gradient Descent without Descent

Stability of Image-Reconstruction Algorithms

Large Steps in Inverse Rendering of Geometry

Computational Inverse Design of Surface-based Inflatables

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