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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

Loi du χ² non centrée

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Bringing casting to microfabrication: processing and deformation of microcastings

Making Computer Vision Models Robust and Adaptive

PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples

3PAC: A Plug-and-Play System for Distributed Power Sharing and Communication in Modular Robots

Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent

Work fluctuations in the active Ornstein-Uhlenbeck particle model

Networks of Ethereum Non-Fungible Tokens: A graph-based analysis of the ERC-721 ecosystem

Robust Generalization despite Distribution Shift via Minimum Discriminating Information

Convergence of adaptive algorithms for constrained weakly convex optimization

Applying SHARK-X to perform data assimilation with the LWR-PROTEUS Phase II integral experiments

PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples

Bringing casting to microfabrication: processing and deformation of microcastings

Work fluctuations in the active Ornstein-Uhlenbeck particle model

Making Computer Vision Models Robust and Adaptive

Networks of Ethereum Non-Fungible Tokens: A graph-based analysis of the ERC-721 ecosystem

Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent

Applying SHARK-X to perform data assimilation with the LWR-PROTEUS Phase II integral experiments

Robust Generalization despite Distribution Shift via Minimum Discriminating Information

3PAC: A Plug-and-Play System for Distributed Power Sharing and Communication in Modular Robots

Convergence of adaptive algorithms for constrained weakly convex optimization