171 citations · 624 across the 37 of their papers we have counts for
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stat.ML2013
The Information Geometry of Mirror Descent
Garvesh Raskutti, Sayan Mukherjee
Information geometry applies concepts in differential geometry to probability and statistics and is especially useful for parameter estimation in exponential families where paramet…
math.ST2013★ 9 cited
Learning directed acyclic graphs based on sparsest permutations
Garvesh Raskutti, Caroline Uhler
We consider the problem of learning a Bayesian network or directed acyclic graph (DAG) model from observational data. A number of constraint-based, score-based and hybrid algorithm…
stat.ML2013★ 171 cited
Early stopping and non-parametric regression: An optimal data-dependent stopping rule
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
The strategy of early stopping is a regularization technique based on choosing a stopping time for an iterative algorithm. Focusing on non-parametric regression in a reproducing ke…