Publications associées à Fonction quasi-convexe

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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

Fonction quasi-convexe

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

Adaptation in Stochastic Algorithms: From Nonsmooth Optimization to Min-Max Problems and Beyond

Yapa: Accelerated Proximal Algorithm For Convex Composite Problems

Performance guarantees of forward and reverse greedy algorithms for minimizing nonsupermodular nonsubmodular functions on a matroid

A Catalyst Framework for Minimax Optimization

Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization

When do Minimax-fair Learning and Empirical Risk Minimization Coincide?

Extra Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods