Publications related to Convex function

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

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

Convex function

Graph Chatbot

Chat with Graph Search

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

Proximal Point Imitation Learning

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

Learning of Continuous and Piecewise-Linear Functions With Hessian Total-Variation Regularization

Finding stationary points on bounded-rank matrices: a geometric hurdle and a smooth remedy

A convex set of robust D—stabilizing controllers using Cauchy's argument principle

Accelerated SGD for Non-Strongly-Convex Least Squares

Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates

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

Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation

Proximal Point Imitation Learning

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

Accelerated SGD for Non-Strongly-Convex Least Squares

Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates

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

Learning of Continuous and Piecewise-Linear Functions With Hessian Total-Variation Regularization

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

Finding stationary points on bounded-rank matrices: a geometric hurdle and a smooth remedy

Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation

A convex set of robust D—stabilizing controllers using Cauchy's argument principle