Publications associées à Convex optimization in sums of Banach spaces

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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

Convex optimization in sums of Banach spaces

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WILD SOLUTIONS TO SCALAR EULER-LAGRANGE EQUATIONS

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Stability of Image-Reconstruction Algorithms

Quadratic serendipity element shape functions on general planar polygons

Variational Methods For Continuous-Domain Inverse Problems: the Quest for the Sparsest Solution

Proximal Point Imitation Learning

Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization

Multikernel Regression with Sparsity Constraint

Continuous-Domain Formulation of Inverse Problems for Composite Sparse-Plus-Smooth Signals

Convergence of adaptive algorithms for constrained weakly convex optimization

WILD SOLUTIONS TO SCALAR EULER-LAGRANGE EQUATIONS

Stability of Image-Reconstruction Algorithms

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Variational Methods For Continuous-Domain Inverse Problems: the Quest for the Sparsest Solution

Quadratic serendipity element shape functions on general planar polygons

Multikernel Regression with Sparsity Constraint

Continuous-Domain Formulation of Inverse Problems for Composite Sparse-Plus-Smooth Signals

Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization

Convergence of adaptive algorithms for constrained weakly convex optimization

Proximal Point Imitation Learning