Mehrdad Mahdavi Ph.D.

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

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

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

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:

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

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

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

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:

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

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

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

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

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

Web text mining using harmony search
Rana Forsati, Mehrdad Mahdavi, 2010, In: Recent Advances In Harmony Search Algorithm

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

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

An improved harmony search algorithm for solving optimization problems
M. Mahdavi, M. Fesanghary, E. Damangir, May 15 2007, In: Applied Mathematics and Computation