Haddadpour, Farzin

7 publications

ICLR 2023 Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD Konstantinos Nikolakakis, Farzin Haddadpour, Amin Karbasi, Dionysios Kalogerias

NeurIPS 2022 Black-Box Generalization: Stability of Zeroth-Order Learning Konstantinos Nikolakakis, Farzin Haddadpour, Dionysis Kalogerias, Amin Karbasi

MLJ 2022 Efficient Fair Principal Component Analysis Mohammad Mahdi Kamani, Farzin Haddadpour, Rana Forsati, Mehrdad Mahdavi

ICLR 2022 Learning Distributionally Robust Models at Scale via Composite Optimization Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Amin Karbasi

AISTATS 2021 Federated Learning with Compression: Unified Analysis and Sharp Guarantees Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari, Mehrdad Mahdavi

NeurIPS 2019 Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck Cadambe

ICML 2019 Trading Redundancy for Communication: Speeding up Distributed SGD for Non-Convex Optimization Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck Cadambe