639 citations · 2.9k across the 94 of their papers we have counts for
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stat.ML2009★ 221 cited
Empirical Bernstein Bounds and Sample Variance Penalization
Andreas Maurer, Massimiliano Pontil
We give improved constants for data dependent and variance sensitive confidence bounds, called empirical Bernstein bounds, and extend these inequalities to hold uniformly over clas…
stat.ML2009★ 123 cited
Taking Advantage of Sparsity in Multi-Task Learning
Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov +1
We study the problem of estimating multiple linear regression equations for the purpose of both prediction and variable selection. Following recent work on multi-task learning Argy…