47 citations · 189 across the 27 of their papers we have counts for
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cs.IT2020★ 4 cited
Limitations of Implicit Bias in Matrix Sensing: Initialization Rank Matters
Armin Eftekhari, Konstantinos Zygalakis
In matrix sensing, we first numerically identify the sensitivity to the initialization rank as a new limitation of the implicit bias of gradient flow. We will partially quantify th…
math.ST2020★ 1 cited
Double-Loop Unadjusted Langevin Algorithm
Paul Rolland, Armin Eftekhari, Ali Kavis +1
A well-known first-order method for sampling from log-concave probability distributions is the Unadjusted Langevin Algorithm (ULA). This work proposes a new annealing step-size sch…
math.OC2020
Training Linear Neural Networks: Non-Local Convergence and Complexity Results
Armin Eftekhari
Linear networks provide valuable insights into the workings of neural networks in general. This paper identifies conditions under which the gradient flow provably trains a linear n…