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Beating SGD Saturation with Tail-Averaging and Minibatching

Project: NoMADS

Updated at: 28-04-2024

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Accelerating variance-reduced stochastic gradient methods

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Updated at: 28-04-2024

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Genuine Personality Recognition from Highly Constrained Face Images

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Updated at: 28-04-2024

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On-line object detection: a robotics challenge

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Updated at: 28-04-2024

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Semantic Image Completion Through an Adversarial Strategy

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Updated at: 28-04-2024

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Numeric Solutions of Eigenvalue Problems for Generic Nonlinear Operators

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Updated at: 28-04-2024

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Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification

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Updated at: 28-04-2024

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On Anisotropic Optical Flow Inpainting Algorithms

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Updated at: 28-04-2024

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Variational Graph Methods for Efficient Point Cloud Sparsification

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Updated at: 28-04-2024

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Accelerated iterative regularization via dual diagonal descent

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Updated at: 28-04-2024

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A multi-task U-net for segmentation with lazy labels

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Updated at: 28-04-2024

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Structural analysis of an L-infinity variational problem and relations to distance functions

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Updated at: 28-04-2024

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History-based anomaly detector: an adversarial approach to anomaly detection

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Updated at: 28-04-2024

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Equilibria of an anisotropic nonlocal interaction equation: Analysis and numerics

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Updated at: 28-04-2024

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Detection of high codimensional bifurcations in variational PDEs

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Updated at: 28-04-2024

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Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian

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Updated at: 28-04-2024

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Block based refitting in $\ell_{12}$ sparse regularisation

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Updated at: 28-04-2024

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PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds

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Updated at: 28-04-2024

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Total Variation Regularisation with Spatially Variable Lipschitz Constraints

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Updated at: 28-04-2024

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A Deterministic Approach to Avoid Saddle Points

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Updated at: 28-04-2024

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Nonlinear Spectral Decompositions by Gradient Flows of One-Homogeneous Functionals

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Updated at: 28-04-2024

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Large data and zero noise limits of graph-based semi-supervised learning algorithms

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Updated at: 28-04-2024

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Convergence of Stochastic Proximal Gradient Algorithm

Project: NoMADS

Updated at: 28-04-2024

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ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution

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Updated at: 28-04-2024

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Approximation of Wasserstein distance with Transshipment

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Updated at: 28-04-2024

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Fenchel Duality Theory and A Primal-Dual Algorithm on Riemannian Manifolds

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Updated at: 28-04-2024

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MUMFORD -SHAH FUNCTIONALS ON GRAPHS AND THEIR ASYMPTOTICS

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Updated at: 28-04-2024

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Approximation of the second eigenvalue of the $p$-Laplace operator in symmetric domains

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Updated at: 28-04-2024

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Refitting Solutions Promoted by $$\ell _{12}$$ Sparse Analysis Regularizations with Block Penalties

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Updated at: 28-04-2024

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A Max-Cut approximation using a graph based MBO scheme

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Updated at: 28-04-2024

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Resources

Selected filters:

Beating SGD Saturation with Tail-Averaging and Minibatching

Accelerating variance-reduced stochastic gradient methods

Genuine Personality Recognition from Highly Constrained Face Images

On-line object detection: a robotics challenge

Semantic Image Completion Through an Adversarial Strategy

Numeric Solutions of Eigenvalue Problems for Generic Nonlinear Operators

Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification

On Anisotropic Optical Flow Inpainting Algorithms

Variational Graph Methods for Efficient Point Cloud Sparsification

Accelerated iterative regularization via dual diagonal descent

A multi-task U-net for segmentation with lazy labels

Structural analysis of an L-infinity variational problem and relations to distance functions

History-based anomaly detector: an adversarial approach to anomaly detection

Equilibria of an anisotropic nonlocal interaction equation: Analysis and numerics

Detection of high codimensional bifurcations in variational PDEs

Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian

Block based refitting in $\ell_{12}$ sparse regularisation

PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds

Total Variation Regularisation with Spatially Variable Lipschitz Constraints

A Deterministic Approach to Avoid Saddle Points

Nonlinear Spectral Decompositions by Gradient Flows of One-Homogeneous Functionals

Large data and zero noise limits of graph-based semi-supervised learning algorithms

Convergence of Stochastic Proximal Gradient Algorithm

ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution

Approximation of Wasserstein distance with Transshipment

Fenchel Duality Theory and A Primal-Dual Algorithm on Riemannian Manifolds

MUMFORD -SHAH FUNCTIONALS ON GRAPHS AND THEIR ASYMPTOTICS

Approximation of the second eigenvalue of the $p$-Laplace operator in symmetric domains

Refitting Solutions Promoted by $$\ell _{12}$$ Sparse Analysis Regularizations with Block Penalties

A Max-Cut approximation using a graph based MBO scheme