Meisam Razaviyayn
University of Southern California
H-index: 32
North America-United States
Top articles of Meisam Razaviyayn
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Differentially Private Next-Token Prediction of Large Language Models | arXiv preprint arXiv:2403.15638 | James Flemings Meisam Razaviyayn Murali Annavaram | 2024/3/22 |
Neural network-based score estimation in diffusion models: Optimization and generalization | arXiv preprint arXiv:2401.15604 | Yinbin Han Meisam Razaviyayn Renyuan Xu | 2024/1/28 |
Four Axiomatic Characterizations of the Integrated Gradients Attribution Method | arXiv preprint arXiv:2306.13753 | Daniel Lundstrom Meisam Razaviyayn | 2023/6/23 |
Policy gradient converges to the globally optimal policy for nearly linear-quadratic regulators | arXiv preprint arXiv:2303.08431 | Yinbin Han Meisam Razaviyayn Renyuan Xu | 2023/3/15 |
Zeroth-order algorithms for nonconvex–strongly-concave minimax problems with improved complexities | Journal of Global Optimization (to appear) | Zhongruo Wang Krishnakumar Balasubramanian Shiqian Ma Meisam Razaviyayn | 2022 |
Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework | arXiv preprint arXiv:2309.11682 | Sina Baharlouei Meisam Razaviyayn | 2023/9/20 |
A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions | Daniel Lundstrom Meisam Razaviyayn | 2023/6/15 | |
Stochastic Differentially Private and Fair Learning | Andrew Lowy Devansh Gupta Meisam Razaviyayn | 2022 | |
RIFLE: Imputation and robust inference from low order marginals | Transaction on Machine Learning Research | Sina Baharlouei Kelechi Ogudu Peng Dai Sze-chuan Suen Meisam Razaviyayn | 2023/9 |
Noise amplifiation of momentum-based optimization algorithms | Hesameddin Mohammadi Meisam Razaviyayn Mihailo R Jovanović | 2023/5/31 | |
Private federated learning without a trusted server: Optimal algorithms for convex losses | Andrew Lowy Meisam Razaviyayn | 2021 | |
Congestion reduction via personalized incentives | Transportation Research Part C: Emerging Technologies | Ali Ghafelebashi Meisam Razaviyayn Maged Dessouky | 2023/7/1 |
Improving adversarial robustness via joint classification and multiple explicit detection classes | Sina Baharlouei Fatemeh Sheikholeslami Meisam Razaviyayn Zico Kolter | 2023/4/11 | |
Impedimetric sensing: an emerging tool for combating the COVID-19 pandemic | Victor Ong Ali Soleimani Farbod Amirghasemi Sina Khazaee Nejad Mona Abdelmonem | 2023/1/30 | |
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization | Sina Baharlouei Shivam Patel Meisam Razaviyayn | 2024 | |
Optimal differentially private learning with public data | arXiv preprint arXiv:2306.15056 | Andrew Lowy Zeman Li Tianjian Huang Meisam Razaviyayn | 2023/6/26 |
Private non-convex federated learning without a trusted server | Andrew Lowy Ali Ghafelebashi Meisam Razaviyayn | 2022 | |
Incentive Systems for Fleets of New Mobility Services | arXiv preprint arXiv:2312.02341 | Ali Ghafelebashi Meisam Razaviyayn Maged Dessouky | 2023/12/4 |
Learning deep models: Critical points and local openness | INFORMS Journal on Optimization | Maher Nouiehed Meisam Razaviyayn | 2022/4 |
Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms | arXiv preprint arXiv:2209.11920 | Hesameddin Mohammadi Meisam Razaviyayn Mihailo R Jovanović | 2022/9/24 |
Co-Authors
