Publications associées à Second-order guarantees in centralized, federated and decentralized nonconvex optimization

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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

Second-order guarantees in centralized, federated and decentralized nonconvex optimization

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Chattez avec Graph Search

Optimization Over Banach Spaces: A Unified View on Supervised Learning and Inverse Problems

Improving the Training of Compact Neural Networks for Visual Recognition

Advances In Morphological Neural Networks: Training, Pruning And Enforcing Shape Constraints

Adaptation in Stochastic Algorithms: From Nonsmooth Optimization to Min-Max Problems and Beyond

Neural Tangent Kernel: Convergence and Generalization in Neural Networks (Invited Paper)

Large Steps in Inverse Rendering of Geometry

Active Subdivision Surfaces for the Semiautomatic Segmentation of Biomedical Volumes

Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search

Convergence of adaptive algorithms for constrained weakly convex optimization

Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms

Convergence of adaptive algorithms for constrained weakly convex optimization

Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search

Large Steps in Inverse Rendering of Geometry

Neural Tangent Kernel: Convergence and Generalization in Neural Networks (Invited Paper)

Adaptation in Stochastic Algorithms: From Nonsmooth Optimization to Min-Max Problems and Beyond

Advances In Morphological Neural Networks: Training, Pruning And Enforcing Shape Constraints

Improving the Training of Compact Neural Networks for Visual Recognition

Optimization Over Banach Spaces: A Unified View on Supervised Learning and Inverse Problems

Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms

Active Subdivision Surfaces for the Semiautomatic Segmentation of Biomedical Volumes