Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions. - Saeed Masiha; Saber Salehkaleybar; Niao He; Negar Kiyavash; Patrick Thiran (NeurIPS, 2022)

Stochastic Second-Order Methods Provably Beat SGD For Gradient-Dominated Functions. - Saeed Masiha; Saber Salehkaleybar; Niao He; Negar Kiyavash; Patrick Thiran (CoRR, 2022)

Learning Algorithm Generalization Error Bounds via Auxiliary Distributions. - Gholamali Aminian; Saeed Masiha; Laura Toni; Miguel R. D. Rodrigues (CoRR, 2022)

Complexity of Minimizing Projected-Gradient-Dominated Functions with Stochastic First-order Oracles. - Saeed Masiha; Saber Salehkaleybar; Niao He; Negar Kiyavash; Patrick Thiran (CoRR, 2024)