List of works - Lorenzo Rosasco

A Consistent Regularization Approach for Structured Prediction ⬇️

scientific article published in January 2016

A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups ⬇️

A biology-driven approach identifies the hypoxia gene signature as a predictor of the outcome of neuroblastoma patients

scientific article published on 12 July 2010

Are loss functions all the same?

scientific article

Beating SGD Saturation with Tail-Averaging and Minibatching ⬇️

Characterizing the Input-Output Function of the Olfactory-Limbic Pathway in the Guinea Pig.

scientific article

Clinical evaluation of a (1,3)-beta-D-glucan assay for presumptive diagnosis of Pneumocystis jiroveci pneumonia in immunocompromised patients.

scientific article published on 19 August 2009

Consistent Multitask Learning with Nonlinear Output Relations ⬇️

scientific article published in January 2017

Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification ⬇️

FALKON: An Optimal Large Scale Kernel Method ⬇️

Finding structured gene signatures

article

Generalization Properties of Learning with Random Features ⬇️

Holographic Embeddings of Knowledge Graphs ⬇️

scientific article

Identification of multiple hypoxia signatures in neuroblastoma cell lines by l1-l2 regularization and data reduction

scientific article

Implicit Regularization of Accelerated Methods in Hilbert Spaces ⬇️

scientific article published in January 2019

Kernel Methods Through the Roof: Handling Billions of Points Efficiently ⬇️

scientific article published in November 2020

Kernels for Vector-Valued Functions: A Review

article

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

scientific article published in 2022

Learning Manifolds with K-Means and K-Flats ⬇️

scientific article published in January 2012

Learning Probability Measures with respect to Optimal Transport Metrics ⬇️

scientific article published in January 2012

Learning with Incremental Iterative Regularization ⬇️

Learning with SGD and Random Features ⬇️

Learning, Regularization and Ill-Posed Inverse Problems ⬇️

scientific article published in January 2005

Less is More: Nyström Computational Regularization ⬇️

article by Alessandro Rudi et al published 2015 in Advances in Neural Information Processing Systems 28

Manifold Structured Prediction ⬇️

Multi-output learning via spectral filtering

Multiclass Learning with Simplex Coding ⬇️

scientific article published in January 2012

On Early Stopping in Gradient Descent Learning

On Fast Leverage Score Sampling and Optimal Learning ⬇️

On Invariance in Hierarchical Models ⬇️

scientific article published in January 2009

On the Sample Complexity of Subspace Learning ⬇️

Optimal Learning for Multi-pass Stochastic Gradient Methods ⬇️

scientific article published in January 2016

Spectral Regularization for Support Estimation ⬇️

Statistical and Computational Trade-Offs in Kernel K-Means ⬇️

The l1-l2 regularization framework unmasks the hypoxia signature hidden in the transcriptome of a set of heterogeneous neuroblastoma cell lines

scientific article

Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents

Vector Field Learning via Spectral Filtering

Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review

article

List of works by Lorenzo Rosasco

A Consistent Regularization Approach for Structured Prediction ⬇️

A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups ⬇️

A biology-driven approach identifies the hypoxia gene signature as a predictor of the outcome of neuroblastoma patients

Are loss functions all the same?

Beating SGD Saturation with Tail-Averaging and Minibatching ⬇️

Characterizing the Input-Output Function of the Olfactory-Limbic Pathway in the Guinea Pig.

Clinical evaluation of a (1,3)-beta-D-glucan assay for presumptive diagnosis of Pneumocystis jiroveci pneumonia in immunocompromised patients.

Consistent Multitask Learning with Nonlinear Output Relations ⬇️

Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification ⬇️

FALKON: An Optimal Large Scale Kernel Method ⬇️

Finding structured gene signatures

Generalization Properties of Learning with Random Features ⬇️

Holographic Embeddings of Knowledge Graphs ⬇️

Identification of multiple hypoxia signatures in neuroblastoma cell lines by l1-l2 regularization and data reduction

Implicit Regularization of Accelerated Methods in Hilbert Spaces ⬇️

Kernel Methods Through the Roof: Handling Billions of Points Efficiently ⬇️

Kernels for Vector-Valued Functions: A Review

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

Learning Manifolds with K-Means and K-Flats ⬇️

Learning Probability Measures with respect to Optimal Transport Metrics ⬇️

Learning with Incremental Iterative Regularization ⬇️

Learning with SGD and Random Features ⬇️

Learning, Regularization and Ill-Posed Inverse Problems ⬇️

Less is More: Nyström Computational Regularization ⬇️

Manifold Structured Prediction ⬇️

Multi-output learning via spectral filtering

Multiclass Learning with Simplex Coding ⬇️

On Early Stopping in Gradient Descent Learning

On Fast Leverage Score Sampling and Optimal Learning ⬇️

On Invariance in Hierarchical Models ⬇️

On the Sample Complexity of Subspace Learning ⬇️

Optimal Learning for Multi-pass Stochastic Gradient Methods ⬇️

Spectral Regularization for Support Estimation ⬇️

Statistical and Computational Trade-Offs in Kernel K-Means ⬇️

The l1-l2 regularization framework unmasks the hypoxia signature hidden in the transcriptome of a set of heterogeneous neuroblastoma cell lines

Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents

Vector Field Learning via Spectral Filtering

Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review