4 citations · 8 across the 8 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2021★ 4 cited
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
Ganlin Song, Ruitu Xu, John Lafferty
Stochastic gradient descent with backpropagation is the workhorse of artificial neural networks. It has long been recognized that backpropagation fails to be a biologically plausib…
stat.ML2020
Meta Learning in the Continuous Time Limit
Ruitu Xu, Lin Chen, Amin Karbasi
In this paper, we establish the ordinary differential equation (ODE) that underlies the training dynamics of Model-Agnostic Meta-Learning (MAML). Our continuous-time limit view of…