| 2025 | AISTATS | On the Inherent Privacy of Zeroth-Order Projected Gradient Descent. | Devansh Gupta, Meisam Razaviyayn, Vatsal Sharan |
| 2025 | ICLR | DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction. | Xinwei Zhang, Zhiqi Bu, Borja Balle, Mingyi Hong, Meisam Razaviyayn, Vahab Mirrokni |
| 2025 | ICLR | Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models. | Zeman Li, Xinwei Zhang, Peilin Zhong, Yuan Deng, Meisam Razaviyayn, Vahab Mirrokni |
| 2025 | ICML | Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence. | Yinbin Han, Meisam Razaviyayn, Renyuan Xu |
| 2025 | ICML | Synthetic Text Generation for Training Large Language Models via Gradient Matching. | Dang Nguyen, Zeman Li, MohammadHossein Bateni, Vahab Mirrokni, Meisam Razaviyayn, Baharan Mirzasoleiman |
| 2024 | ICLR | f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization. | Sina Baharlouei, Shivam Patel, Meisam Razaviyayn |
| 2024 | ICLR | Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization. | Yinbin Han, Meisam Razaviyayn, Renyuan Xu |
| 2024 | ICML | Optimal Differentially Private Model Training with Public Data. | Andrew Lowy, Zeman Li, Tianjian Huang, Meisam Razaviyayn |
| 2024 | NAACL | Differentially Private Next-Token Prediction of Large Language Models. | James Flemings, Meisam Razaviyayn, Murali Annavaram |
| 2023 | AISTATS | Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes. | Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, Zico Kolter |
| 2023 | AISTATS | Private Non-Convex Federated Learning Without a Trusted Server. | Andrew Lowy, Ali Ghafelebashi, Meisam Razaviyayn |
| 2023 | ALT | Private Stochastic Optimization with Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses. | Andrew Lowy, Meisam Razaviyayn |
| 2023 | ICLR | Stochastic Differentially Private and Fair Learning. | Andrew Lowy, Devansh Gupta, Meisam Razaviyayn |
| 2023 | ICLR | Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses. | Andrew Lowy, Meisam Razaviyayn |
| 2023 | ICML | A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions. | Daniel Lundstrm, Meisam Razaviyayn |
| 2022 | ICML | A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions. | Daniel Lundstrm, Tianjian Huang, Meisam Razaviyayn |
| 2021 | AISTATS | Alternating Direction Method of Multipliers for Quantization. | Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn |
| 2020 | ICASSP | Solving Non-Convex Non-Differentiable Min-Max Games Using Proximal Gradient Method. | Babak Barazandeh, Meisam Razaviyayn |
| 2020 | ICLR | Rnyi Fair Inference. | Sina Baharlouei, Maher Nouiehed, Ahmad Beirami, Meisam Razaviyayn |
| 2018 | ICLR | Learning Deep Models: Critical Points and Local Openness. | Maher Nouiehed, Meisam Razaviyayn |
| 2018 | ICML | Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks. | Mingyi Hong, Meisam Razaviyayn, Jason D. Lee |
| 2015 | ICASSP | Convergence analysis of alternating direction method of multipliers for a family of nonconvex problems. | Mingyi Hong, Zhi-Quan Luo, Meisam Razaviyayn |
| 2015 | ISIT | Minimum HGR correlation principle: From marginals to joint distribution. | Farzan Farnia, Meisam Razaviyayn, Sreeram Kannan, David Tse |
| 2014 | ICASSP | A block coordinate descent method of multipliers: Convergence analysis and applications. | Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo |
| 2014 | ICASSP | Dictionary learning for sparse representation: Complexity and algorithms. | Meisam Razaviyayn, Hung-Wei Tseng, Zhi-Quan Luo |
| 2014 | ICASSP | Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers. | Xiangfeng Wang, Mingyi Hong, Tsung-Hui Chang, Meisam Razaviyayn, Zhi-Quan Luo |
| 2012 | ACSSC | Joint transceiver design and base station clustering for heterogeneous networks. | Mingyi Hong, Meisam Razaviyayn, Ruoyu Sun, Zhi-Quan Luo |
| 2012 | ACSSC | SINR constrained beamforming for a MIMO multi-user downlink system. | Qingjiang Shi, Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo |
| 2012 | ICASSP | Optimal joint base station assignment and downlink beamforming for heterogeneous networks. | Maziar Sanjabi, Meisam Razaviyayn, Zhi-Quan Luo |
| 2011 | ACSSC | Linear transceiver design for a MIMO interfering broadcast channel achieving max-min fairness. | Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo |
| 2011 | CISS | Joint transceiver design and user grouping in a MIMO interfering broadcast channel. | Meisam Razaviyayn, Hadi Baligh, Aaron Callard, Zhi-Quan Luo |
| 2011 | ICASSP | An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel. | Qingjiang Shi, Meisam Razaviyayn, Zhi-Quan Luo, Chen He |
| 2010 | ICASSP | A Stackelberg game approach to distributed spectrum management. | Meisam Razaviyayn, Yao Morin, Zhi-Quan Luo |