Mehrdad Mahdavi Ph.D.
- Dorothy Quiggle Career Development Assistant Professor
W365 Westgate Building
- Email mzm616@psu.edu
- Phone 814-863-0076
- Elsevier Pure Profile
Areas of Expertise
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Harmony Search Computer Science
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Optimization Problem Computer Science
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Convex Optimization Computer Science
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Harmony Search Keyphrases
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Random Projection Keyphrases
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Neural Network Computer Science
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Optimization Problem Keyphrases
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Primal-dual Keyphrases
Websites
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2026
SpotFed
Myungjun Son, Woohyeon Baek, Mehrdad Mahdavi, Mahmut Kandemir, 2026, In: Proceedings - 2026 IEEE 26th International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2026
Quantum Speedups for Sampling and Non-Convex Optimization with Stochastic Oracles
Guneykan Ozgul, Xiantao Li, Mehrdad Mahdavi, Chunhao Wang, Aug 25 2026, In: 21st Conference on the Theory of Quantum Computation, Communication and Cryptography, TQC 2026
Learning Without Forgetting for Continual Learning in LLMs Through Adaptive LoRA Ranks
Fuli Qiao, Mehrdad Mahdavi, Sep 2026, In: Machine Learning
2025
Determinants of U.S. residential energy consumption at national and state levels
Sepideh Sadat Korsavi, Rahman Azari, Lisa D. Iulo, Mehrdad Mahdavi, Jul 2025, In: Energy Policy
Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees
Yuyang Deng, Fuli Qiao, Mehrdad Mahdavi, 2025, In: Proceedings of Machine Learning Research
Low-rank Momentum Factorization for Memory Efficient Training
Pouria Mahdavinia, Mehrdad Mahdavi, 2025, In: Transactions on Machine Learning Research
NaviSense
Ajay Narayanan Sridhar, Fuli Qiao, Nelson Daniel Troncoso Aldas, Yanpei Shi, Mehrdad Mahdavi, Laurent Itti, Vijaykrishnan Narayanan, Oct 22 2025, In: ASSETS 2025 - Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility
2024
On the Generalization Ability of Unsupervised Pretraining
Yuyang Deng, Junyuan Hong, Jiayu Zhou, Mehrdad Mahdavi, 2024, In: Proceedings of Machine Learning Research
Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions
Guneykan Ozgul, Xiantao Li, Mehrdad Mahdavi, Chunhao Wang, 2024, In: Proceedings of Machine Learning Research
Learn more, but bother less
Fuli Qiao, Mehrdad Mahdavi, 2024, In: Advances in Neural Information Processing Systems
2023
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, In:
DyFormer
Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Chun Cheng Jason Chen, Mehrdad Mahdavi, 2023, In: 2023 SIAM International Conference on Data Mining, SDM 2023
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection
Weilin Cong, Mehrdad Mahdavi, 2023, In: Proceedings of Machine Learning Research
Distributed Personalized Empirical Risk Minimization
Yuyang Deng, Mohammad Mahdi Kamani, Pouria Mahdavinia, Mehrdad Mahdavi, 2023, In: Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation
Yuyang Deng, Ilja Kuzborskij, Mehrdad Mahdavi, 2023, In: Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023
Understanding Deep Gradient Leakage via Inversion Influence Functions
Haobo Zhang, Junyuan Hong, Yuyang Deng, Mehrdad Mahdavi, Jiayu Zhou, 2023, In: Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023
2022
Understanding the Structural Components behind the Psychological Effects of Autonomous Sensory Meridian Response (ASMR) with Machine Learning and Experimental Methods
Ryan Tan, Heather Shoenberger, Weilin Cong, Mehrdad Mahdavi, 2022, In: Journal of Media Psychology
Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time
Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi, 2022, In: Proceedings of Machine Learning Research
LEARNING DISTRIBUTIONALLY ROBUST MODELS AT SCALE VIA COMPOSITE OPTIMIZATION
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Amin Karbasi, 2022, In:
Predicting Protein-Ligand Docking Structure with Graph Neural Network
Huaipan Jiang, Jian Wang, Weilin Cong, Yihe Huang, Morteza Ramezani, Anup Sarma, Nikolay V. Dokholyan, Mehrdad Mahdavi, Mahmut T. Kandemir, Jun 27 2022, In: Journal of Chemical Information and Modeling
Efficient fair principal component analysis
Mohammad Mahdi Kamani, Farzin Haddadpour, Rana Forsati, Mehrdad Mahdavi, 2022, In: Machine Learning
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, 2022, In: IEEE Transactions on Parallel and Distributed Systems
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
Pouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi, 2022, In: Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022
LEARN LOCALLY, CORRECT GLOBALLY
Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Mahmut T. Kandemir, Anand Sivasubramaniam, 2022, In:
2021
On Provable Benefits of Depth in Training Graph Convolutional Networks
Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi, 2021, In: Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021
Local Stochastic Gradient Descent Ascent
Yuyang Deng, Mehrdad Mahdavi, 2021, In: Proceedings of Machine Learning Research
GPU-Accelerated Flexible Molecular Docking
Mengran Fan, Jian Wang, Huaipan Jiang, Yilin Feng, Mehrdad Mahdavi, Kamesh Madduri, Mahmut T. Kandemir, Nikolay V. Dokholyan, Feb 4 2021, In: Journal of Physical Chemistry B
Federated Learning with Compression
Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari, Mehrdad Mahdavi, 2021, In: Proceedings of Machine Learning Research
Meta-learning with an Adaptive Task Scheduler
Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn, 2021, In: Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021
2020
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks
Weilin Cong, Rana Forsati, Mahmut Kandemir, Mehrdad Mahdavi, Aug 23 2020, In: KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Distributionally robust federated averaging
Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi, 2020, In: Advances in Neural Information Processing Systems
Guiding conventional protein-ligand docking software with convolutional neural networks
Huaipan Jiang, Mengran Fan, Jian Wang, Anup Sarma, Shruti Mohanty, Nikolay V. Dokholyan, Mehrdad Mahdavi, Mahmut T. Kandemir, 2020, In: Journal of Chemical Information and Modeling
Targeted Data-driven Regularization for Out-of-Distribution Generalization
Mohammad Mahdi Kamani, Sadegh Farhang, Mehrdad Mahdavi, James Z. Wang, Aug 23 2020, In: KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Learning to quantize deep neural networks
Md Fahim Faysal Khan, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Jul 2020, In: 2020 57th ACM/IEEE Design Automation Conference, DAC 2020
Mixed Precision Quantization Scheme for Re-configurable ReRAM Crossbars Targeting Different Energy Harvesting Scenarios
Md Fahim Faysal Khan, Nicholas Anton Jao, Changchi Shuai, Keni Qiu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, 2020, In: Internet of Things. A Confluence of Many Disciplines - 2nd IFIP International Cross-Domain Conference, IFIPIoT 2019, Revised Selected Papers
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, Nov 2020, In: Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020
GCN meets GPU
Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Anand Sivasubramaniam, Mahmut T. Kandemir, 2020, In: Advances in Neural Information Processing Systems
Online structured meta-learning
Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong, 2020, In: Advances in Neural Information Processing Systems
2019
Local SGD with periodic averaging
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe, 2019, In: Advances in Neural Information Processing Systems
Trading redundancy for communication
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe, 2019, In: 36th International Conference on Machine Learning, ICML 2019
Learning Feature Nonlinearities with Regularized Binned Regression
Samet Oymak, Mehrdad Mahdavi, Jiasi Chen, Jul 2019, In: 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings
Trading Redundancy for Communication
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck Ramesh Cadambe, 2019, In: Proceedings of Machine Learning Research
2017
Sketching meets random projection in the dual
Jialei Wang, Jason D. Lee, Mehrdad Mahdavi, Mladen Kolar, Nathan Srebro, 2017, In: Electronic Journal of Statistics
Sketching meets random projection in the dual
Jialei Wang, Jason D. Lee, Mehrdad Mahdavi, Mladen Kolar, Nathan Srebro, Jan 1 2017, In:
Sketching meets random projection in the dual
Jialei Wang, Jason D. Lee, Mehrdad Mahdavi, Mladen Kolar, Nathan Srebro, 2017, In:
2016
Train and test tightness of lp relaxations in structured prediction
Ofer Meshi, Mehrdad Mahdavi, Adrian Weiler, David Sontag, 2016, In: 33rd International Conference on Machine Learning, ICML 2016
2015
Lower and upper bounds on the generalization of stochastic exponentially concave optimization
Mehrdad Mahdavi, Lijun Zhang, Rong Jin, 2015, In: Journal of Machine Learning Research
Smooth and strong
Ofer Meshi, Mehrdad Mahdavi, Alexander G. Schwing, 2015, In: Advances in Neural Information Processing Systems
2014
Matrix factorization with explicit trust and distrust side information for improved social recommendation
Rana Forsati, Mehrdad Mahdavi, Mehrnoush Shamsfard, Mohamed Sarwat, Oct 28 2014, In: ACM Transactions on Information Systems
An efficient primal dual prox method for non-smooth optimization
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Shenghuo Zhu, Mar 2014, In: Machine Learning
Regret bounded by gradual variation for online convex optimization
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Shenghuo Zhu, May 2014, In: Machine Learning
Random projections for classification
Lijun Zhang, Mehrdad Mahdavi, Rong Jin, Tianbao Yang, Shenghuo Zhu, Nov 2014, In: IEEE Transactions on Information Theory
2013
Efficient stochastic algorithms for document clustering
Rana Forsati, Mehrdad Mahdavi, Mehrnoush Shamsfard, Mohammad Reza Meybodi, Jan 20 2013, In: Information Sciences
Improved bounds for the nyström method with application to kernel classification
Rong Jin, Tianbao Yang, Mehrdad Mahdavi, Yu Feng Li, Zhi Hua Zhou, 2013, In: IEEE Transactions on Information Theory
Mixed optimization for smooth functions
Mehrdad Mahdavi, Lijun Zhang, Rong Jin, 2013, In: Advances in Neural Information Processing Systems
Passive learning with target risk
Mehrdad Mahdavi, Rong Jin, 2013, In: Journal of Machine Learning Research
Stochastic convex optimization with multiple objectives
Mehrdad Mahdavi, Tianbao Yang, Rong Jin, 2013, In: Advances in Neural Information Processing Systems
Linear convergence with condition number independent access of full gradients
Lijun Zhang, Mehrdad Mahdavi, Rong Jin, 2013, In: Advances in Neural Information Processing Systems
Recovering the optimal solution by dual random projection
Lijun Zhang, Mehrdad Mahdavi, Rong Jin, Tianbao Yang, Shenghuo Zhu, 2013, In: Journal of Machine Learning Research
2012
Online optimization with gradual variations
Chao Kai Chiang, Tianbao Yang, Chia Jung Lee, Mehrdad Mahdavi, Chi Jen Lu, Rong Jin, Shenghuo Zhu, 2012, In: Journal of Machine Learning Research
Stochastic gradient descent with only one projection
Mehrdad Mahdavi, Tianbao Yang, Rong Jin, Shenghuo Zhu, Jinfeng Yi, 2012, In: Advances in Neural Information Processing Systems 25
Trading regret for efficiency
Mehrdad Mahdavi, Rong Jin, Tianbao Yang, Sep 2012, In: Journal of Machine Learning Research
Multiple kernel learning from noisy labels by stochastic programming
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Lijun Zhang, Yang Zhou, 2012, In: Proceedings of the 29th International Conference on Machine Learning, ICML 2012
Nyström method vs random Fourier features
Tianbao Yang, Yu Feng Li, Mehrdad Mahdavi, Rong Jin, Zhi Hua Zhou, 2012, In: Advances in Neural Information Processing Systems 25
Online kernel selection
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Yi, Steven C.H. Hoi, 2012, In: AAAI-12 / IAAI-12 - Proceedings of the 26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference
Online Kernel Selection
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Yi, Steven C.H. Hoi, 2012, In:
Robust ensemble clustering by matrix completion
Jinfeng Yi, Tianbao Yang, Rong Jin, Anil K. Jain, Mehrdad Mahdavi, 2012, In: Proceedings - 12th IEEE International Conference on Data Mining, ICDM 2012
2010
Web text mining using harmony search
Rana Forsati, Mehrdad Mahdavi, 2010, In: Recent Advances In Harmony Search Algorithm
2009
Effective page recommendation algorithms based on distributed learning automata
Rana Forsati, Afsaneh Rahbar, Mehrdad Mahdavi, 2009, In: 4th International Multi-Conference on Computing in the Global Information Technology, ICCGI 2009
Harmony K-means algorithm for document clustering
Mehrdad Mahdavi, Hassan Abolhassani, Jun 2009, In: Data Mining and Knowledge Discovery
Solving NP-complete problems by harmony search
Mehrdad Mahdavi, 2009, In: Music-Inspired Harmony Search Algorithm
2008
Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems
M. Fesanghary, M. Mahdavi, M. Minary-Jolandan, Y. Alizadeh, Jun 1 2008, In: Computer Methods in Applied Mechanics and Engineering
An efficient algorithm for bandwidth-delay constrained least cost multicast routing
Rana Forsati, Mehrdad Mahdavi, Abolfazl Torghy Haghighat, Azadeh Ghariniyat, 2008, In: IEEE Canadian Conference on Electrical and Computer Engineering, Proceedings, CCECE 2008
Harmony search based algorithms for bandwidth-delay-constrained least-cost multicast routing
R. Forsati, A. T. Haghighat, M. Mahdavi, Jun 25 2008, In: Computer Communications
Hybridization of K-means and harmony search methods for web page clustering
Rana Forsati, Mohammad Reza Meybodi, Mehrdad Mahdavi, Azadeh Ghari Neiat, 2008, In: Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
Web page clustering using harmony search optimization
Rana Forsati, Mehrdad Mahdavi, Mohammadreza Kangavari, Banafsheh Safarkhani, 2008, In: IEEE Canadian Conference on Electrical and Computer Engineering, Proceedings, CCECE 2008
Bandwidth-delay constrained least cost multicast routing for multimedia communication
Mehrdad Mahdavi, Rana Forsati, Ali Movaghar, 2008, In: Advances in Computer Science and Engineering - 13th International CSI Computer Conference, CSICC 2008, Revised Selected Papers
Novel meta-heuristic algorithms for clustering web documents
M. Mahdavi, M. Haghir Chehreghani, H. Abolhassani, R. Forsati, Jul 15 2008, In: Applied Mathematics and Computation
Global-best harmony search
Mahamed G.H. Omran, Mehrdad Mahdavi, May 1 2008, In: Applied Mathematics and Computation
2007
An improved harmony search algorithm for solving optimization problems
M. Mahdavi, M. Fesanghary, E. Damangir, May 15 2007, In: Applied Mathematics and Computation