Regularized Linear Regression for Binary Classification. - Danil Akhtiamov; Reza Ghane; Babak Hassibi (ISIT, 2024)

Universality in Transfer Learning for Linear Models. - Reza Ghane; Danil Akhtiamov; Babak Hassibi (NeurIPS, 2024)

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

One-Bit Quantization and Sparsification for Multiclass Linear Classification via Regularized Regression. - Reza Ghane; Danil Akhtiamov; Babak Hassibi (CoRR, 2024)

Concentration of Measure for Distributions Generated via Diffusion Models. - Reza Ghane; Anthony Bao; Danil Akhtiamov; Babak Hassibi (CoRR, 2025)

Beyond Quadratic Costs in LQR: Bregman Divergence Control. - Babak Hassibi; Joudi Hajar; Reza Ghane (CoRR, 2025)

Beyond Quadratic Costs: A Bregman Divergence Approach to H∞ Control. - Joudi Hajar; Reza Ghane; Babak Hassibi (CoRR, 2025)