Publications associées à Temperature Control of High Performance Multicore Platforms Using Convex Optimization

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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

Temperature Control of High Performance Multicore Platforms Using Convex Optimization

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Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations

Development of a large-area, light-weight module using the MALTA monolithic pixel detector

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

Towards Deeply Scaled 3D MPSoCs with Integrated Flow Cell Array Technology

Implications of ANEC for SCFTs in four dimensions

Stochastic Frank-Wolfe for Composite Convex Minimization

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H-infinity Performance

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H∞ Performance

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H∞ Performance

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Towards Deeply Scaled 3D MPSoCs with Integrated Flow Cell Array Technology

Development of a large-area, light-weight module using the MALTA monolithic pixel detector

Implications of ANEC for SCFTs in four dimensions

Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations

Stochastic Frank-Wolfe for Composite Convex Minimization

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H-infinity Performance

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H∞ Performance

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

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H∞ Performance