Publications associées à Algorithme du gradient stochastique

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Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Volkan Cevher, Anastasios Kyrillidis

The convex

\ell_1

-regularized

\log\det

divergence criterion has been shown to produce theoretically consistent graph learning. However, this objective function is challenging since the

\ell_1

-regularization is nonsmooth, the

\log\det

objective is n ...

2013

Algorithme du gradient stochastique

Graph Chatbot

Chattez avec Graph Search

Efficient Sample Mining for Object Detection

Sample Distillation for Object Detection and Image Classification

Scalable sparse covariance estimation via self-concordance

Predictive Control for Longitudinal Beam Dynamics in Heavy Ion Synchrotrons

Convex Optimization for Big Data

Monte-Carlo utility estimates for Bayesian reinforcement learning

Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Fast Proximal Algorithms For Self-Concordant Function Minimization With Application To Sparse Graph Selection

Analysis of Descent-Based Image Registration

Accelerated And Inexact Forward-Backward Algorithms

Sample Distillation for Object Detection and Image Classification

Efficient Sample Mining for Object Detection

Scalable sparse covariance estimation via self-concordance

Predictive Control for Longitudinal Beam Dynamics in Heavy Ion Synchrotrons

Convex Optimization for Big Data

Monte-Carlo utility estimates for Bayesian reinforcement learning

Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Fast Proximal Algorithms For Self-Concordant Function Minimization With Application To Sparse Graph Selection

Analysis of Descent-Based Image Registration

Accelerated And Inexact Forward-Backward Algorithms