15 citations · 25 across the 3 of their papers we have counts for
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cs.LG2019★ 4 cited
Differentially Private Empirical Risk Minimization with Sparsity-Inducing Norms
K S Sesh Kumar, Marc Peter Deisenroth
Differential privacy is concerned about the prediction quality while measuring the privacy impact on individuals whose information is contained in the data. We consider differentia…
cs.LG2012★ 15 cited
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…