Mehrdad Mahdavi

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IEE Research Themes
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Titles and Affiliations
Assistant Professor, Computer Science and Engineering

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Recent Publications

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 journalReview articlepeer-review

Efficient fair principal component analysis

Kamani, M. M., Haddadpour, F., Forsati, R. & Mahdavi, M., 2022, (Accepted/In press) In: Machine Learning.

Research output: Contribution to journalArticlepeer-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 journalArticlepeer-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 journalArticlepeer-review

Distributionally robust federated averaging

Deng, Y., Kamani, M. M. & Mahdavi, M., 2020, In: Advances in Neural Information Processing Systems. 2020-December

Research output: Contribution to journalConference articlepeer-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 journalArticlepeer-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-December

Research output: Contribution to journalConference articlepeer-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-December

Research output: Contribution to journalConference articlepeer-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. 32

Research output: Contribution to journalConference articlepeer-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 journalArticlepeer-review

Lower and upper bounds on the generalization of stochastic exponentially concave optimization

Mahdavi, M., Zhang, L. & Jin, R., Jan 1 2015, In: Journal of Machine Learning Research. 40, 2015

Research output: Contribution to journalConference articlepeer-review

Smooth and strong: MAP inference with linear convergence

Meshi, O., Mahdavi, M. & Schwing, A. G., Jan 1 2015, In: Advances in Neural Information Processing Systems. 2015-January, p. 298-306 9 p.

Research output: Contribution to journalConference articlepeer-review

Matrix factorization with explicit trust and distrust side information for improved social recommendation

Forsati, R., Mahdavi, M., Shamsfard, M. & Sarwat, M., Oct 28 2014, In: ACM Transactions on Information Systems. 32, 4, p. 1-38 38 p.

Research output: Contribution to journalArticlepeer-review

An efficient primal dual prox method for non-smooth optimization

Yang, T., Mahdavi, M., Jin, R. & Zhu, S., Mar 2014, In: Machine Learning. 98, 3, p. 369-406 38 p.

Research output: Contribution to journalArticlepeer-review

Regret bounded by gradual variation for online convex optimization

Yang, T., Mahdavi, M., Jin, R. & Zhu, S., Jan 1 2014, In: Machine Learning. 95, 2, p. 183-223 41 p.

Research output: Contribution to journalArticlepeer-review