Publications associées à A natural-norm Successive Constraint Method for inf-sup lower bounds

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Convergence of adaptive algorithms for constrained weakly convex optimization

Volkan Cevher, Ahmet Alacaoglu, Yurii Malitskyi

We analyze the adaptive first order algorithm AMSGrad, for solving a constrained stochastic optimization problem with a weakly convex objective. We prove the

\tilde O(t^{-1/2})

rate of convergence for the squared norm of the gradient of Moreau envelope, ...

2021

A natural-norm Successive Constraint Method for inf-sup lower bounds

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Addressing fairness in classification with a model-agnostic multi-objective algorithm

Convergence of adaptive algorithms for constrained weakly convex optimization

Bootstrapping massive quantum field theories

MATHICSE Technical Report: Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates

On Linear Optimization over Wasserstein Balls

Linear convergence of primal-dual gradient methods and their performance in distributed optimization

Random extrapolation for primal-dual coordinate descent

Linear Speedup In Saddle-Point Escape For Decentralized Non-Convex Optimization

Allocation of Active Power Reserve from Active Distribution Networks Using a Cost-Benefit Approach: Application to Swissgrid Network

Linear-parameter-varying approximation of nonlinear dynamics for model predictive flow control of urban multi-region systems

MATHICSE Technical Report: Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates

Bootstrapping massive quantum field theories

On Linear Optimization over Wasserstein Balls

Random extrapolation for primal-dual coordinate descent

Linear Speedup In Saddle-Point Escape For Decentralized Non-Convex Optimization

Addressing fairness in classification with a model-agnostic multi-objective algorithm

Convergence of adaptive algorithms for constrained weakly convex optimization

Linear convergence of primal-dual gradient methods and their performance in distributed optimization

Allocation of Active Power Reserve from Active Distribution Networks Using a Cost-Benefit Approach: Application to Swissgrid Network

Linear-parameter-varying approximation of nonlinear dynamics for model predictive flow control of urban multi-region systems