1 citations · 2 across the 13 of their papers we have counts for
3 papers · 1 filter
Universality in Transfer Learning for Linear Models
Reza Ghane, Danil Akhtiamov, Babak Hassibi
We study the problem of transfer learning and fine-tuning in linear models for both regression and binary classification. In particular, we consider the use of stochastic gradient…
One-Bit Quantization and Sparsification for Multiclass Linear Classification with Strong Regularization
Reza Ghane, Danil Akhtiamov, Babak Hassibi
We study the use of linear regression for multiclass classification in the over-parametrized regime where some of the training data is mislabeled. In such scenarios it is necessary…
A Novel Gaussian Min-Max Theorem and its Applications
Danil Akhtiamov, David Bosch, Reza Ghane +2
A celebrated result by Gordon allows one to compare the min-max behavior of two Gaussian processes if certain inequality conditions are met. The consequences of this result include…