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Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees

Project: SLING

Updated at: 28-08-2024

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Efficient Unsupervised Learning for Plankton Images

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Updated at: 28-08-2024

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Regularization Properties of Dual Subgradient Flow

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Updated at: 13-08-2024

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Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization

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Updated at: 13-08-2024

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Fast kernel methods for data quality monitoring as a goodness-of-fit test

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Updated at: 13-08-2024

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Fast iterative regularization by reusing data

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Updated at: 13-08-2024

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Top-tuning: A study on transfer learning for an efficient alternative to fine tuning for image classification with fast ...

Project: SLING

Updated at: 13-08-2024

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A fast and flexible machine learning approach to data quality monitoring

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Updated at: 13-08-2024

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Goodness of fit by Neyman-Pearson testing

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Updated at: 13-08-2024

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Fair learning with Wasserstein barycenters for non-decomposable performance measures

Project: SLING

Updated at: 13-08-2024

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Periodic Reporting for period 3 - SLING (Efficient algorithms for sustainable machine learning)

Project: SLING

Updated at: 13-08-2024

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Iterative regularization for low complexity regularizers

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Updated at: 13-08-2024

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Project acronym SLING

Snacks: a fast large-scale kernel SVM solver

Project: SLING

Updated at: 13-08-2024

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Estimating Koopman operators with sketching to provably learn large scale dynamical systems

Project: SLING

Updated at: 13-08-2024

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An optimal structured zeroth-order algorithm for non-smooth optimization

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Updated at: 13-08-2024

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Project acronym SLING

Anderson acceleration of coordinate descent

Project: SLING

Updated at: 27-04-2024

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Physics informed machine learning for wind speed prediction

Project: SLING

Updated at: 27-04-2024

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Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot

Project: SLING

Updated at: 27-04-2024

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Learning new physics efficiently with nonparametric methods

Project: SLING

Updated at: 27-04-2024

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Project acronym SLING

Zeroth-order optimization with orthogonal random directions

Project: SLING

Updated at: 27-04-2024

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Project acronym SLING

Adherent: Learning human-like trajectory generators for whole-body control of humanoid robots

Project: SLING

Updated at: 27-04-2024

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Project acronym SLING

Constructing fast approximate eigenspaces with application to the fast graph Fourier transforms

Project: SLING

Updated at: 27-04-2024

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Project acronym SLING

Near-linear time gaussian process optimization with adaptive batching and resparsification

Project: SLING

Updated at: 27-04-2024

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Park: Sound and efficient kernel ridge regression by feature space partitions

Project: SLING

Updated at: 27-04-2024

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Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression

Project: SLING

Updated at: 27-04-2024

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Kernel methods through the roof: Handling billions of points efficiently

Project: SLING

Updated at: 27-04-2024

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Project acronym SLING

Construction and Monte Carlo Estimation of Wavelet Frames Generated by a Reproducing Kernel

Project: SLING

Updated at: 27-04-2024

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Accelerated Iterative Regularization via Dual Diagonal Descent

Project: SLING

Updated at: 27-04-2024

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Project acronym SLING

Asymptotics of Ridge(less) Regression under General Source Condition

Project: SLING

Updated at: 27-04-2024

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Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry

Project: SLING

Updated at: 27-04-2024

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Project acronym SLING

Resources

Selected filters:

Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees

Efficient Unsupervised Learning for Plankton Images

Regularization Properties of Dual Subgradient Flow

Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization

Fast kernel methods for data quality monitoring as a goodness-of-fit test

Fast iterative regularization by reusing data

Top-tuning: A study on transfer learning for an efficient alternative to fine tuning for image classification with fast ...

A fast and flexible machine learning approach to data quality monitoring

Goodness of fit by Neyman-Pearson testing

Fair learning with Wasserstein barycenters for non-decomposable performance measures

Periodic Reporting for period 3 - SLING (Efficient algorithms for sustainable machine learning)

Iterative regularization for low complexity regularizers

Snacks: a fast large-scale kernel SVM solver

Estimating Koopman operators with sketching to provably learn large scale dynamical systems

An optimal structured zeroth-order algorithm for non-smooth optimization

Anderson acceleration of coordinate descent

Physics informed machine learning for wind speed prediction

Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot

Learning new physics efficiently with nonparametric methods

Zeroth-order optimization with orthogonal random directions

Adherent: Learning human-like trajectory generators for whole-body control of humanoid robots

Constructing fast approximate eigenspaces with application to the fast graph Fourier transforms

Near-linear time gaussian process optimization with adaptive batching and resparsification

Park: Sound and efficient kernel ridge regression by feature space partitions

Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression

Kernel methods through the roof: Handling billions of points efficiently

Construction and Monte Carlo Estimation of Wavelet Frames Generated by a Reproducing Kernel

Accelerated Iterative Regularization via Dual Diagonal Descent

Asymptotics of Ridge(less) Regression under General Source Condition

Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry