| 2026 | CCGRID | SpotFed: Cost-Efficient Federated Learning with Spot Instance Compensation. | Myungjun Son, Woohyeon Baek, Mehrdad Mahdavi, Mahmut T. Kandemir |
| 2025 | AISTATS | Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees. | Yuyang Deng, Fuli Qiao, Mehrdad Mahdavi |
| 2025 | ASSETS | NaviSense: A Multimodal Assistive Mobile application for Object Retrieval by Persons with Visual Impairment. | Ajay Narayanan Sridhar, Fuli Qiao, Nelson Daniel Troncoso Aldas, Yanpei Shi, Mehrdad Mahdavi, Laurent Itti, Vijaykrishnan Narayanan |
| 2024 | AISTATS | On the Generalization Ability of Unsupervised Pretraining. | Yuyang Deng, Junyuan Hong, Jiayu Zhou, Mehrdad Mahdavi |
| 2024 | ICML | Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions. | Guneykan Ozgul, Xiantao Li, Mehrdad Mahdavi, Chunhao Wang |
| 2023 | AISTATS | Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection. | Weilin Cong, Mehrdad Mahdavi |
| 2023 | ICLR | Do We Really Need Complicated Model Architectures For Temporal Networks? | Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi |
| 2023 | SDM | DyFormer : A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability. | Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Chun-cheng Jason Chen, Mehrdad Mahdavi |
| 2022 | AISTATS | Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time. | Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi |
| 2022 | ICLR | Learning Distributionally Robust Models at Scale via Composite Optimization. | Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Amin Karbasi |
| 2022 | ICLR | Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks. | Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Mahmut T. Kandemir, Anand Sivasubramaniam |
| 2021 | AISTATS | Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency. | Yuyang Deng, Mehrdad Mahdavi |
| 2021 | AISTATS | Federated Learning with Compression: Unified Analysis and Sharp Guarantees. | Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari, Mehrdad Mahdavi |
| 2020 | DAC | Learning to Quantize Deep Neural Networks: A Competitive-Collaborative Approach. | Md Fahim Faysal Khan, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Vijaykrishnan Narayanan |
| 2020 | ICDCS | Communication-efficient k-Means for Edge-based Machine Learning. | Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris |
| 2020 | KDD | Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks. | Weilin Cong, Rana Forsati, Mahmut T. Kandemir, Mehrdad Mahdavi |
| 2020 | KDD | Targeted Data-driven Regularization for Out-of-Distribution Generalization. | Mohammad Mahdi Kamani, Sadegh Farhang, Mehrdad Mahdavi, James Z. Wang |
| 2019 | ICML | Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization. | Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe |
| 2019 | ISIT | Learning Feature Nonlinearities with Regularized Binned Regression. | Samet Oymak, Mehrdad Mahdavi, Jiasi Chen |
| 2017 | AISTATS | Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data. | Jialei Wang, Jason D. Lee, Mehrdad Mahdavi, Mladen Kolar, Nati Srebro |
| 2016 | ICML | Train and Test Tightness of LP Relaxations in Structured Prediction. | Ofer Meshi, Mehrdad Mahdavi, Adrian Weller, David A. Sontag |
| 2015 | COLT | Lower and Upper Bounds on the Generalization of Stochastic Exponentially Concave Optimization. | Mehrdad Mahdavi, Lijun Zhang, Rong Jin |
| 2013 | COLT | Passive Learning with Target Risk. | Mehrdad Mahdavi, Rong Jin |
| 2013 | COLT | Recovering the Optimal Solution by Dual Random Projection. | Lijun Zhang, Mehrdad Mahdavi, Rong Jin, Tianbao Yang, Shenghuo Zhu |
| 2012 | AAAI | Online Kernel Selection: Algorithms and Evaluations. | Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Yi, Steven C. H. Hoi |
| 2012 | ICDM | Robust Ensemble Clustering by Matrix Completion. | Jinfeng Yi, Tianbao Yang, Rong Jin, Anil K. Jain, Mehrdad Mahdavi |
| 2012 | ICML | Multiple Kernel Learning from Noisy Labels by Stochastic Programming. | Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Lijun Zhang, Yang Zhou |
| 2008 | CSICC | Bandwidth-Delay Constrained Least Cost Multicast Routing for Multimedia Communication. | Mehrdad Mahdavi, Rana Forsati, Ali Movaghar |