From the 1 of 119 linked papers with an AI index.
735 citations · 3k across the 67 of their papers we have counts for
4 papers · 1 filter
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method
Simon Lacoste-Julien, Mark Schmidt, Francis Bach
In this note, we present a new averaging technique for the projected stochastic subgradient method. By using a weighted average with a weight of t+1 for each iterate w_t at iterati…
Tree-dependent Component Analysis
Francis R. Bach, Michael I. Jordan
We present a generalization of independent component analysis (ICA), where instead of looking for a linear transform that makes the data components independent, we look for a trans…
Convex Relaxations for Learning Bounded Treewidth Decomposable Graphs
K. S. Sesh Kumar, Francis Bach
We consider the problem of learning the structure of undirected graphical models with bounded treewidth, within the maximum likelihood framework. This is an NP-hard problem and mos…
Local stability and robustness of sparse dictionary learning in the presence of noise
Rodolphe Jenatton, Rémi Gribonval, Francis Bach
A popular approach within the signal processing and machine learning communities consists in modelling signals as sparse linear combinations of atoms selected from a learned dictio…