Publications associées à Convex computation of the region of attraction of polynomial control systems

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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

Convex computation of the region of attraction of polynomial control systems

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Chattez avec Graph Search

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

A Spatial Branch and Bound Algorithm for Continuous Pricing with Advanced Discrete Choice Demand Modeling

Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems

On The Convergence Of Stochastic Primal-Dual Hybrid Gradient

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

Dynamic lane restrictions on congested arterials

Stochastic Frank-Wolfe for Composite Convex Minimization

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

A Spatial Branch and Bound Algorithm for Continuous Pricing with Advanced Discrete Choice Demand Modeling

On The Convergence Of Stochastic Primal-Dual Hybrid Gradient

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

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees

Dynamic lane restrictions on congested arterials

Stochastic Frank-Wolfe for Composite Convex Minimization

An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis

Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems