3 citations · 3 across the 3 of their papers we have counts for
3 papers
stat.ML2023★ 3 cited
Precise Asymptotic Analysis of Deep Random Feature Models
David Bosch, Ashkan Panahi, Babak Hassibi
We provide exact asymptotic expressions for the performance of regression by an layer deep random feature (RF) model, where the input is mapped through multiple random embeddin…
stat.ML2022
Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves
David Bosch, Ashkan Panahi, Ayca Özcelikkale +1
We compute precise asymptotic expressions for the learning curves of least squares random feature (RF) models with either a separable strongly convex regularization or the …
math.OC2021
Decentralized Constrained Optimization: Double Averaging and Gradient Projection
Firooz Shahriari-Mehr, David Bosch, Ashkan Panahi
In this paper, we consider the convex, finite-sum minimization problem with explicit convex constraints over strongly connected directed graphs. The constraint is an intersection o…