Francis Bach

Etudes supérieures

DIFFRAC a discriminative and flexible framework for clustering

Francis Bach

Rapports de stage

Statistical Convergence of Kernel CCA

Francis Bach

Rapports de stage

Asymptotically Optimal Regularization in Smooth Parametric Models

Francis Bach

Rapports de stage

Predictive low rank decomposition for kernel methods

Francis Bach

Etudes supérieures

Non Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning

Francis Bach

Etudes supérieures

Sparse methods for machine learning Theory and algorithms

Francis Bach

Cours

Blind one microphone speech separation: A spectral learning approach

Francis Bach

Cours

Computing regularization paths for learning multiple kernels

Francis Bach

Education

For Sparse Principal Component Analysis

Francis Bach

Cours

On the Path to an Ideal ROC Curve: Considering Cost Asymmetry

Francis Bach

Cours

Motivation and Overview of Contribution Related work on Inexact Algorithms

Nicolas Leroux, Francis Bach, Mark Schmidt

Cours

Sparse methods for machine learning

Francis Bach

Education

A Path Following Algorithm for the Graph Matching Problem

Francis Bach

Cours

Learning on images with segmentation graph kernels

Francis Bach

Cours

Machine Learning Summer School Ile de Re Learning with sparsity inducing norms slides

Francis Bach