17 citations · 25 across the 3 of their papers we have counts for
3 papers · 1 filter
When does gradient descent with logistic loss interpolate using deep networks with smoothed ReLU activations?
Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett
We establish conditions under which gradient descent applied to fixed-width deep networks drives the logistic loss to zero, and prove bounds on the rate of convergence. Our analysi…
When does gradient descent with logistic loss find interpolating two-layer networks?
Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett
We study the training of finite-width two-layer smoothed ReLU networks for binary classification using the logistic loss. We show that gradient descent drives the training loss to…
Failures of model-dependent generalization bounds for least-norm interpolation
Peter L. Bartlett, Philip M. Long
We consider bounds on the generalization performance of the least-norm linear regressor, in the over-parameterized regime where it can interpolate the data. We describe a sense in…