Publications associées à Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator

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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

Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator

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Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Universal and adaptive methods for robust stochastic optimization

Robust Outlier Rejection for 3D Registration with Variational Bayes

Stochastic homogenization of degenerate integral functionals with linear growth

Stochastic distributed learning with gradient quantization and double-variance reduction

Proximal Point Imitation Learning

Predicting in Uncertain Environments: Methods for Robust Machine Learning

Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates

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

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

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Universal and adaptive methods for robust stochastic optimization

Stochastic homogenization of degenerate integral functionals with linear growth

Predicting in Uncertain Environments: Methods for Robust Machine Learning

Proximal Point Imitation Learning

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

Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates

Robust Outlier Rejection for 3D Registration with Variational Bayes

Stochastic distributed learning with gradient quantization and double-variance reduction

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