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cs.LG2024★ 1 cited
Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning
Andrew Bond, Zafer Dogan
Subspace learning is a critical endeavor in contemporary machine learning, particularly given the vast dimensions of modern datasets. In this study, we delve into the training dyna…
stat.ML2024
Input-Label Correlation Governs a Linear-to-Nonlinear Transition in Random Features under Spiked Covariance
Samet Demir, Zafer Dogan
Random feature models (RFMs), two-layer networks with a randomly initialized fixed first layer and a trained linear readout, are among the simplest nonlinear predictors. Prior asym…