Publications associées à Fast and robust estimation of NODDI parameters using non-Gaussian noise models and spatial regularization

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A first-order primal-dual method with adaptivity to local smoothness

Volkan Cevher, Maria-Luiza Vladarean

We consider the problem of finding a saddle point for the convex-concave objective

\min_x \max_y f(x) + \langle Ax, y\rangle - g^*(y)

, where

f

is a convex function with locally Lipschitz gradient and

g

is convex and possibly non-smooth. We propose an ...

2021

Fast and robust estimation of NODDI parameters using non-Gaussian noise models and spatial regularization

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Chattez avec Graph Search

SIMPLE HIERARCHICAL PLANNING WITH DIFFUSION

Universal and adaptive methods for robust stochastic optimization

Predicting in Uncertain Environments: Methods for Robust Machine Learning

Computational Inverse Design of Surface-based Inflatables

Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models

A first-order primal-dual method with adaptivity to local smoothness

Convex optimization in sums of Banach spaces

A Newton Frank-Wolfe method for constrained self-concordant minimization

Mathematical Foundations of Robust and Distributionally Robust Optimization

STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization

Universal and adaptive methods for robust stochastic optimization

Computational Inverse Design of Surface-based Inflatables

Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models

A first-order primal-dual method with adaptivity to local smoothness

Predicting in Uncertain Environments: Methods for Robust Machine Learning

Convex optimization in sums of Banach spaces

STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization

SIMPLE HIERARCHICAL PLANNING WITH DIFFUSION

A Newton Frank-Wolfe method for constrained self-concordant minimization

Mathematical Foundations of Robust and Distributionally Robust Optimization