Mehrdad Mahdavi
Penn State University
H-index: 34
North America-United States
Top articles of Mehrdad Mahdavi
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
On the Generalization Capability of Temporal Graph Learning Algorithms: Theoretical Insights and a Simpler Method | arXiv preprint arXiv:2402.16387 | Weilin Cong Jian Kang Hanghang Tong Mehrdad Mahdavi | 2024/2/26 |
On the Generalization Ability of Unsupervised Pretraining | International Conference on Artificial Intelligence and Statistics (AISTATS) | Yuyang Deng Junyuan Hong Jiayu Zhou Mehrdad Mahdavi | 2024/3/11 |
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation | Advances in Neural Information Processing Systems (NeurIPS) | Yuyang Deng Ilja Kuzborskij Mehrdad Mahdavi | 2023/9/19 |
Distributed Personalized Empirical Risk Minimization | Yuyang Deng Mohammad Mahdi Kamani Pouria Mahdavinia Mehrdad Mahdavi | 2023/11/2 | |
On the hardness of robustness transfer: A perspective from Rademacher complexity over symmetric difference hypothesis space | arXiv preprint arXiv:2302.12351 | Yuyang Deng* Nidham Gazagnadou* Junyuan Hong Mehrdad Mahdavi Lingjuan Lyu | 2023/2/23 |
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection | Weilin Cong Mehrdad Mahdavi | 2023/1/21 | |
Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions | arXiv preprint arXiv:2310.11445 | Guneykan Ozgul Xiantao Li Mehrdad Mahdavi Chunhao Wang | 2023/10/17 |
Do We Really Need Complicated Model Architectures For Temporal Networks? | arXiv preprint arXiv:2302.11636 | Weilin Cong Si Zhang Jian Kang Baichuan Yuan Hao Wu | 2023/2/22 |
On the Generalization of Temporal Graph Learning with Theoretical Insights | Weilin Cong Jian Kang Hanghang Tong Mehrdad Mahdavi | 2023/10/13 | |
DyFormer: A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability | SIAM International Conference on Data Mining (SDM) | Weilin Cong Yanhong Wu Yuandong Tian Mengting Gu Yinglong Xia | 2023 |
Understanding Deep Gradient Leakage via Inversion Influence Functions | Advances in Neural Information Processing Systems | Haobo Zhang Junyuan Hong Yuyang Deng Mehrdad Mahdavi Jiayu Zhou | 2024/2/13 |
Understanding the structural components behind the psychological effects of autonomous sensory meridian response (ASMR) with machine learning and experimental methods | Journal of Media Psychology | Ryan Tan Heather Shoenberger Weilin Cong Mehrdad Mahdavi | 2022/11/23 |
Learning Distributionally Robust Models at Scale via Composite Optimization | Farzin Haddadpour Mohammad Mahdi Kamani Mehrdad Mahdavi Amin Karbasi | 2022/3/17 | |
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems | Advances in Neural Information Processing Systems | Pouria Mahdavinia Yuyang Deng Haochuan Li Mehrdad Mahdavi | 2022/12/6 |
Journal of Media Psychology: Theories, Methods, and Applications | Ryan Tan Heather Shoenberger Weilin Cong Mehrdad Mahdavi R Tan | 2022 | |
Efficient fair principal component analysis | Machine Learning | Mohammad Mahdi Kamani Farzin Haddadpour Rana Forsati Mehrdad Mahdavi | 2022/10/1 |
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks | Morteza Ramezani Weilin Cong Mehrdad Mahdavi Mahmut Kandemir Anand Sivasubramaniam | 2022 | |
Rademacher Complexity Over Class for Adversarially Robust Domain Adaptation | Yuyang Deng Nidham Gazagnadou Junyuan Hong Mehrdad Mahdavi Lingjuan Lyu | 2022/9/29 | |
Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time | Yuyang Deng Mohammad Mahdi Kamani Mehrdad Mahdavi | 2022/5/3 | |
GraphEditor: An Efficient Graph Representation Learning and Unlearning Approach | Weilin Cong Mehrdad Mahdavi | 2022/9/29 |
Co-Authors
