Decentralized Constrained Optimization: Double Averaging and Gradient Projection. - Firooz Shahriari-Mehr; David Bosch 002; Ashkan Panahi (CDC, 2021)

Double Descent in Random Feature Models: Precise Asymptotic Analysis for General Convex Regularization. - David Bosch 002; Ashkan Panahi; Ayça Özçelikkale; Devdatt P. Dubhashi (CoRR, 2022)

Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves. - David Bosch 002; Ashkan Panahi; Ayça Özçelikkale; Devdatt P. Dubhashi (AISTATS, 2023)

Precise Asymptotic Analysis of Deep Random Feature Models. - David Bosch 002; Ashkan Panahi; Babak Hassibi (COLT, 2023)

A Novel Gaussian Min-Max Theorem and its Applications. - Danil Akhtiamov; David Bosch 002; Reza Ghane; Kanumuri Nithin Varma; Babak Hassibi (CoRR, 2024)

A Novel Convex Gaussian Min Max Theorem for Repeated Features. - David Bosch 002; Ashkan Panahi (AISTATS, 2025)