Concept

Géométrie riemannienne

Publications associées (188)

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Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal Rates without Convexity

Nicolas Henri Bernard Flammarion

We consider minimizing a nonconvex, smooth function

f

on a Riemannian manifold

\mathcal{M}

. We show that a perturbed version of Riemannian gradient descent algorithm converges to a second-order stationary point (and hence is able to escape saddle point ...

2019

Géométrie riemannienne

Graph Chatbot

Chattez avec Graph Search

Escaping from saddle points on Riemannian manifolds

A Gauss-Bonnet Theorem for Asymptotically Conical Manifolds and Manifolds with Conical Singularities

Design optimization of a CFRP-aluminum joint for a bioengineering application

Bayesian Optimization Meets Riemannian Manifolds in Robot Learning

Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal Rates without Convexity

A central limit theorem for integrals of random waves

Renormalization of quantum field theory on Riemannian manifolds

A Learned Shape-Adaptive Subsurface Scattering Model

Parametric Workshop

Adhesive wear mechanisms in the presence of weak interfaces: Insights from an amorphous model system

Escaping from saddle points on Riemannian manifolds

A Gauss-Bonnet Theorem for Asymptotically Conical Manifolds and Manifolds with Conical Singularities

Design optimization of a CFRP-aluminum joint for a bioengineering application

Bayesian Optimization Meets Riemannian Manifolds in Robot Learning

A central limit theorem for integrals of random waves

Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal Rates without Convexity

Renormalization of quantum field theory on Riemannian manifolds

Adhesive wear mechanisms in the presence of weak interfaces: Insights from an amorphous model system

A Learned Shape-Adaptive Subsurface Scattering Model

Parametric Workshop