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Projects
Recent Publications
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection
Cong, W. & Mahdavi, M., 2023, In: Proceedings of Machine Learning Research. 206, p. 6674-6703 30 p.Research output: Contribution to journal › Conference article › peer-review
Understanding the Structural Components behind the Psychological Effects of Autonomous Sensory Meridian Response (ASMR) with Machine Learning and Experimental Methods
Tan, R., Shoenberger, H., Cong, W. & Mahdavi, M., May 2023, In: Journal of Media Psychology. 35, 3, p. 181-189 9 p.Research output: Contribution to journal › Article › peer-review
Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time
Deng, Y., Kamani, M. M. & Mahdavi, M., 2022, In: Proceedings of Machine Learning Research. 151, p. 6840-6861 22 p.Research output: Contribution to journal › Conference article › peer-review
Predicting Protein-Ligand Docking Structure with Graph Neural Network
Jiang, H., Wang, J., Cong, W., Huang, Y., Ramezani, M., Sarma, A., Dokholyan, N. V., Mahdavi, M. & Kandemir, M. T., Jun 27 2022, In: Journal of Chemical Information and Modeling. 62, 12, p. 2923-2932 10 p.Research output: Contribution to journal › Review article › peer-review
Efficient fair principal component analysis
Kamani, M. M., Haddadpour, F., Forsati, R. & Mahdavi, M., Oct 2022, In: Machine Learning. 111, 10, p. 3671-3702 32 p.Research output: Contribution to journal › Article › peer-review
Communication-Efficient k-Means for Edge-Based Machine Learning
Lu, H., He, T., Wang, S., Liu, C., Mahdavi, M., Narayanan, V., Chan, K. S. & Pasteris, S., Oct 1 2022, In: IEEE Transactions on Parallel and Distributed Systems. 33, 10, p. 2509-2523 15 p.Research output: Contribution to journal › Article › peer-review
Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency
Deng, Y. & Mahdavi, M., 2021, In: Proceedings of Machine Learning Research. 130, p. 1387-1395 9 p.Research output: Contribution to journal › Conference article › peer-review
GPU-Accelerated Flexible Molecular Docking
Fan, M., Wang, J., Jiang, H., Feng, Y., Mahdavi, M., Madduri, K., Kandemir, M. T. & Dokholyan, N. V., Feb 4 2021, In: Journal of Physical Chemistry B. 125, 4, p. 1049-1060 12 p.Research output: Contribution to journal › Article › peer-review
Federated Learning with Compression: Unified Analysis and Sharp Guarantees
Haddadpour, F., Kamani, M. M., Mokhtari, A. & Mahdavi, M., 2021, In: Proceedings of Machine Learning Research. 130, p. 2350-2358 9 p.Research output: Contribution to journal › Conference article › peer-review
Distributionally robust federated averaging
Deng, Y., Kamani, M. M. & Mahdavi, M., 2020, In: Advances in Neural Information Processing Systems. 2020-DecemberResearch output: Contribution to journal › Conference article › peer-review
Guiding conventional protein-ligand docking software with convolutional neural networks
Jiang, H., Fan, M., Wang, J., Sarma, A., Mohanty, S., Dokholyan, N. V., Mahdavi, M. & Kandemir, M. T., Oct 26 2020, In: Journal of Chemical Information and Modeling. 60, 10, p. 4594-4602 9 p.Research output: Contribution to journal › Article › peer-review
GCN meets GPU: Decoupling “When to sample” from “How to sample”
Ramezani, M., Cong, W., Mahdavi, M., Sivasubramaniam, A. & Kandemir, M. T., 2020, In: Advances in Neural Information Processing Systems. 2020-DecemberResearch output: Contribution to journal › Conference article › peer-review
Online structured meta-learning
Yao, H., Zhou, Y., Mahdavi, M., Li, Z., Socher, R. & Xiong, C., 2020, In: Advances in Neural Information Processing Systems. 2020-DecemberResearch output: Contribution to journal › Conference article › peer-review
Local SGD with periodic averaging: Tighter analysis and adaptive synchronization
Haddadpour, F., Kamani, M. M., Mahdavi, M. & Cadambe, V. R., 2019, In: Advances in Neural Information Processing Systems. 32Research output: Contribution to journal › Conference article › peer-review
Sketching meets random projection in the dual: A provable recovery algorithm for big and high-dimensional data
Wang, J., Lee, J. D., Mahdavi, M., Kolar, M. & Srebro, N., 2017, In: Electronic Journal of Statistics. 11, 2, p. 4896-4944 49 p.Research output: Contribution to journal › Article › peer-review