57 citations · 245 across the 48 of their papers we have counts for
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cs.LG2017★ 17 cited
Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers
Jacob Steinhardt, Moses Charikar, Gregory Valiant
We introduce a criterion, resilience, which allows properties of a dataset (such as its mean or best low rank approximation) to be robustly computed, even in the presence of a larg…
cs.LG2017★ 57 cited
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics
Yuchen Zhang, Percy Liang, Moses Charikar
We study the Stochastic Gradient Langevin Dynamics (SGLD) algorithm for non-convex optimization. The algorithm performs stochastic gradient descent, where in each step it injects a…