Publication

Optimal image alignment with random projections of manifolds: algorithm and geometric analysis

Publications associées (74)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

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

Optimal image alignment with random projections of manifolds: algorithm and geometric analysis

Graph Chatbot

Chattez avec Graph Search

Convex optimization in sums of Banach spaces

Shrinking Scale Equidistribution for Monochromatic Random Waves on Compact Manifolds

A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features

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

Configuration Spaces Of Products

Scalable Low-rank Matrix and Tensor Decomposition on Graphs

A Fourier dimensionality reduction model for big data interferometric imaging

The tropical momentum map: a classification of toric log symplectic manifolds

Time synchronization of consumer cameras on Micro Aerial Vehicles

Riemannian Optimization for Solving High-Dimensional Problems with Low-Rank Tensor Structure

Convex optimization in sums of Banach spaces

Riemannian Optimization for Solving High-Dimensional Problems with Low-Rank Tensor Structure

Shrinking Scale Equidistribution for Monochromatic Random Waves on Compact Manifolds

A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features

Configuration Spaces Of Products

Time synchronization of consumer cameras on Micro Aerial Vehicles

The tropical momentum map: a classification of toric log symplectic manifolds

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

Scalable Low-rank Matrix and Tensor Decomposition on Graphs

A Fourier dimensionality reduction model for big data interferometric imaging