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Smoothness

Publications associées (140)

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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

Smoothness

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Correcting for non-periodic behaviour in perturbative experiments: application to heat pulse propagation and modulated gas-puff experiments

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

A Study of Several Artificial Viscosity Models within the Discontinuous Galerkin Framework

A Low-Parametric Rhombic Microstructure Family for Irregular Lattices

Sparsely observed functional time series: estimation and prediction

Efficient Proximal Mapping of the 1-path-norm of Shallow Networks

Isogeometric analysis with C1 hierarchical functions on planar two-patch geometries

Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data

Log Barriers for Safe Non-convex Black-box Optimization

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

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

A Study of Several Artificial Viscosity Models within the Discontinuous Galerkin Framework

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

Correcting for non-periodic behaviour in perturbative experiments: application to heat pulse propagation and modulated gas-puff experiments

Sparsely observed functional time series: estimation and prediction

Isogeometric analysis with C1 hierarchical functions on planar two-patch geometries

A Low-Parametric Rhombic Microstructure Family for Irregular Lattices

Efficient Proximal Mapping of the 1-path-norm of Shallow Networks

Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data

Log Barriers for Safe Non-convex Black-box Optimization