Publications associées à Ultra-Fast Optimization Algorithm for Sparse Multi Kernel Learning

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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

Ultra-Fast Optimization Algorithm for Sparse Multi Kernel Learning

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Convergence of adaptive algorithms for constrained weakly convex optimization

Forward-Backward Splitting for Optimal Transport Based Problems

A Unifying Representer Theorem for Inverse Problems and Machine Learning

Evolutionary Algorithm Optimization of Staggered Biological or Biomimetic Composites Using the Random Fuse Model

A new wake model and comparison of eight algorithms for layout optimization of wind farms in complex terrain

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

Vulnérabilité sismique à grande échelle de la ville de Lausanne

Second-Order Guarantees In Federated Learning

Update on yesterday's dose-Use of delivery log-files for daily adaptive proton therapy (DAPT)

Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval

Update on yesterday's dose-Use of delivery log-files for daily adaptive proton therapy (DAPT)

A Unifying Representer Theorem for Inverse Problems and Machine Learning

A new wake model and comparison of eight algorithms for layout optimization of wind farms in complex terrain

Evolutionary Algorithm Optimization of Staggered Biological or Biomimetic Composites Using the Random Fuse Model

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

Vulnérabilité sismique à grande échelle de la ville de Lausanne

Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval

Forward-Backward Splitting for Optimal Transport Based Problems

Second-Order Guarantees In Federated Learning

Convergence of adaptive algorithms for constrained weakly convex optimization