output
20102023
most citedTensorizing Neural Networks

604 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2015 · stat.MLShow all

5 papers · 2 filters

stat.ML2015★ 18 cited

Barrier Frank-Wolfe for Marginal Inference

Rahul G. Krishnan, Simon Lacoste-Julien, David Sontag

We introduce a globally-convergent algorithm for optimizing the tree-reweighted (TRW) variational objective over the marginal polytope. The algorithm is based on the conditional gr…

stat.ML2015★ 5 cited

Rethinking LDA: moment matching for discrete ICA

Anastasia Podosinnikova, Francis Bach, Simon Lacoste-Julien

We consider moment matching techniques for estimation in Latent Dirichlet Allocation (LDA). By drawing explicit links between LDA and discrete versions of independent component ana…

stat.ML2015★ 30 cited

A New PAC-Bayesian Perspective on Domain Adaptation

Pascal Germain, Amaury Habrard, François Laviolette +1

We study the issue of PAC-Bayesian domain adaptation: We want to learn, from a source domain, a majority vote model dedicated to a target one. Our theoretical contribution brings a…

stat.ML2015★ 5 cited

PAC-Bayesian Theorems for Domain Adaptation with Specialization to Linear Classifiers

Pascal Germain, Amaury Habrard, François Laviolette +1

In this paper, we provide two main contributions in PAC-Bayesian theory for domain adaptation where the objective is to learn, from a source distribution, a well-performing majorit…

stat.ML2015★ 23 cited

Learning the Structure for Structured Sparsity

Nino Shervashidze, Francis Bach

Structured sparsity has recently emerged in statistics, machine learning and signal processing as a promising paradigm for learning in high-dimensional settings. All existing metho…