Tarmoun, Salma

6 publications

TMLR 2025 A Local Polyak-Łojasiewicz and Descent Lemma of Gradient Descent for Overparametrized Linear Models Ziqing Xu, Hancheng Min, Salma Tarmoun, Enrique Mallada, Rene Vidal

NeurIPS 2025 Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares Lachlan Ewen MacDonald, Hancheng Min, Leandro Palma, Salma Tarmoun, Ziqing Xu, Rene Vidal

AISTATS 2025 Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization Ziqing Xu, Hancheng Min, Lachlan Ewen MacDonald, Jinqi Luo, Salma Tarmoun, Enrique Mallada, Rene Vidal

AISTATS 2023 Linear Convergence of Gradient Descent for Finite Width Over-Parametrized Linear Networks with General Initialization Ziqing Xu, Hancheng Min, Salma Tarmoun, Enrique Mallada, Rene Vidal

ICML 2021 On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks Hancheng Min, Salma Tarmoun, Rene Vidal, Enrique Mallada

ICML 2021 Understanding the Dynamics of Gradient Flow in Overparameterized Linear Models Salma Tarmoun, Guilherme Franca, Benjamin D Haeffele, Rene Vidal