Mohammad Mahdi Kamani

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 29

Top Topics

Empirical Risk Minimization

Cluttered Scenes

Top Venues

Publications

Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu
FedRule: Federated Rule Recommendation System with Graph Neural Networks. IoTDI (2023)
Yuyang Deng, Mohammad Mahdi Kamani, Pouria Mahdavinia, Mehrdad Mahdavi
Distributed Personalized Empirical Risk Minimization. CoRR (2023)
Yuyang Deng, Mohammad Mahdi Kamani, Pouria Mahdavinia, Mehrdad Mahdavi
Distributed Personalized Empirical Risk Minimization. NeurIPS (2023)
Mohammad Mahdi Kamani, Yuhang Yao, Hanjia Lyu, Zhongwei Cheng, Lin Chen, Liangju Li, Carlee Joe-Wong, Jiebo Luo
Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking. NeurIPS (2023)
Mohammad Mahdi Kamani, Farzin Haddadpour, Rana Forsati, Mehrdad Mahdavi
Efficient fair principal component analysis. Mach. Learn. 111 (10) (2022)
Farshid Farhat, Mohammad Mahdi Kamani, James Z. Wang
CAPTAIN: Comprehensive Composition Assistance for Photo Taking. ACM Trans. Multim. Comput. Commun. Appl. 18 (1) (2022)
Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi
Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time. AISTATS (2022)
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Amin Karbasi
Learning Distributionally Robust Models at Scale via Composite Optimization. ICLR (2022)
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Amin Karbasi
Learning Distributionally Robust Models at Scale via Composite Optimization. CoRR (2022)
Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu
FedRule: Federated Rule Recommendation System with Graph Neural Networks. CoRR (2022)
Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi
Distributionally Robust Federated Averaging. CoRR (2021)
Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari, Mehrdad Mahdavi
Federated Learning with Compression: Unified Analysis and Sharp Guarantees. AISTATS (2021)
Sumanth Chennupati, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation. BMVC (2021)
Mohammad Mahdi Kamani, Rana Forsati, James Z. Wang, Mehrdad Mahdavi
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing. CoRR (2021)
Sumanth Chennupati, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation. CoRR (2021)
Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi
Distributionally Robust Federated Averaging. NeurIPS (2020)
Md Fahim Faysal Khan, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Vijaykrishnan Narayanan
Learning to Quantize Deep Neural Networks: A Competitive-Collaborative Approach. DAC (2020)
Mohammad Mahdi Kamani, Sadegh Farhang, Mehrdad Mahdavi, James Z. Wang
Targeted Data-driven Regularization for Out-of-Distribution Generalization. KDD (2020)
Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari, Mehrdad Mahdavi
Federated Learning with Compression: Unified Analysis and Sharp Guarantees. CoRR (2020)
Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi
Adaptive Personalized Federated Learning. CoRR (2020)
Mohammad Mahdi Kamani, Farzin Haddadpour, Rana Forsati, Mehrdad Mahdavi
Efficient Fair Principal Component Analysis. CoRR (2019)
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization. NeurIPS (2019)
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe
Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization. ICML (2019)
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization. CoRR (2019)
Sadegh Farhang, Jake Weidman, Mohammad Mahdi Kamani, Jens Grossklags, Peng Liu
Take It or Leave It: A Survey Study on Operating System Upgrade Practices. ACSAC (2018)
Farshid Farhat, Mohammad Mahdi Kamani, James Z. Wang
CAPTAIN: Comprehensive Composition Assistance for Photo Taking. CoRR (2018)
Mohammad Mahdi Kamani, Farshid Farhat, Stephen Wistar, James Z. Wang
Skeleton matching with applications in severe weather detection. Appl. Soft Comput. 70 (2018)
Farshid Farhat, Mohammad Mahdi Kamani, Sahil Mishra, James Z. Wang
Intelligent Portrait Composition Assistance: Integrating Deep-learned Models and Photography Idea Retrieval. ACM Multimedia (Thematic Workshops) (2017)
Mohammad Mahdi Kamani, Farshid Farhat, Stephen Wistar, James Z. Wang
Shape matching using skeleton context for automated bow echo detection. IEEE BigData (2016)