Publications associées à Application lipschitzienne

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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

Application lipschitzienne

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Stable parameterization of continuous and piecewise-linear functions

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Controlling the Complexity and Lipschitz Constant improves Polynomial Nets

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

An Accelerated First-Order Method for Non-convex Optimization on Manifolds

Stable parameterization of continuous and piecewise-linear functions

Controlling the Complexity and Lipschitz Constant improves Polynomial Nets

An Efficient Sampling Algorithm for Non-smooth Composite Potentials

Learning Lipschitz-Controlled Activation Functions in Neural Networks for Plug-and-Play Image Reconstruction Methods

Benign Overfitting in Deep Neural Networks under Lazy Training

Predicting in Uncertain Environments: Methods for Robust Machine Learning

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

UNDERGRAD: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees

Gradient-based optimisation of the conditional-value-at-risk using the multi-level Monte Carlo method