Ahmed Hefny

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Sashank J. ReddiResearch Scientist, Google ResearchVerified email at cs.cmu.edu
Suvrit SraMITVerified email at mit.edu
Carlton DowneyCarnegie Mellon UniversityVerified email at cs.cmu.edu
Geoff GordonProfessor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Alex SmolaAmazon Web ServicesVerified email at smola.org
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Kumar Avinava DubeyResearch Scientist, Google ResearchVerified email at google.com
Lin MaCarnegie Mellon UniversityVerified email at cs.cmu.edu
Andy PavloCarnegie Mellon UniversityVerified email at cs.cmu.edu
Dana Van AkenCarnegie Mellon UniversityVerified email at cs.cmu.edu
Deanna NeedellProfessor of Mathematics, UCLAVerified email at cmc.edu
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon UniversityVerified email at stat.cmu.edu
Sinead WilliamsonAssistant professor, University of Texas at AustinVerified email at mccombs.utexas.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Siddhartha SrinivasaBoeing Endowed Professor, University of WashingtonVerified email at cs.washington.edu
Zita MarinhoDeepmind, Institute for Systems and Robotics (ISR/IST), LARSyS, Univ LisboaVerified email at cmu.edu
Wen SunAssistant Professor, Cornell UniversityVerified email at cornell.edu
Kareem DarwishaiXplainVerified email at aixplain.com
Byron BootsAssociate Professor, University of WashingtonVerified email at cs.washington.edu
Boyue LiCarnegie Mellon UniversityVerified email at andrew.cmu.edu

Ahmed Hefny

Software Engineer, Waymo

Verified email at cs.cmu.edu - Homepage

Machine Learning


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Stochastic variance reduction for nonconvex optimization SJ Reddi, A Hefny, S Sra, B Póczos, A Smola International conference on machine learning, 314-323, 2016	512	2016
On variance reduction in stochastic gradient descent and its asynchronous variants S J Reddi, A Hefny, S Sra, B Poczos, AJ Smola Advances in neural information processing systems 28, 2015	178	2015
Query-based workload forecasting for self-driving database management systems L Ma, D Van Aken, A Hefny, G Mezerhane, A Pavlo, GJ Gordon Proceedings of the 2018 International Conference on Management of Data, 631-645, 2018	149	2018
A nonparametric mixture model for topic modeling over time A Dubey, A Hefny, S Williamson, EP Xing Proceedings of the 2013 SIAM international conference on data mining, 530-538, 2013	74	2013
Supervised learning for dynamical system learning A Hefny, C Downey, GJ Gordon Advances in neural information processing systems 28, 2015	58	2015
Predictive state recurrent neural networks C Downey, A Hefny, B Boots, GJ Gordon, B Li Advances in Neural Information Processing Systems 30, 2017	48	2017
Rows versus Columns: Randomized Kaczmarz or Gauss--Seidel for Ridge Regression A Hefny, D Needell, A Ramdas SIAM Journal on Scientific Computing 39 (5), S528-S542, 2017	31	2017
Using semantic features to detect spamming in social bookmarking systems A Madkour, T Hefni, A Hefny, KS Refaat Proc. of ECML PKDD Discovery Challenge Workshop, 55-62, 2008	28	2008
Recurrent predictive state policy networks A Hefny, Z Marinho, W Sun, S Srinivasa, G Gordon International Conference on Machine Learning, 1949-1958, 2018	26	2018
Improved transliteration mining using graph reinforcement A El Kahki, K Darwish, AS El Din, M Abd El-Wahab, A Hefny, W Ammar Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011	24	2011
Large-scale randomized-coordinate descent methods with non-separable linear constraints SS Sashank Reddi, Ahmed Hefny, Carlton Downey, Avinava Dubey UAI'15 Proceedings of the Thirty-First Conference on Uncertainty in …, 2015	21*	2015
Cerberus: Applying supervised and reinforcement learning techniques to capture the flag games A Hefny, A Hatem, M Shalaby, A Atiya Proceedings of the AAAI Conference on Artificial Intelligence and …, 2008	17	2008
Practical learning of predictive state representations C Downey, A Hefny, G Gordon arXiv preprint arXiv:1702.04121, 2017	12	2017
An efficient, expressive and local minima-free method for learning controlled dynamical systems A Hefny, C Downey, G Gordon Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	9*	2018
Rows vs. columns: Randomized Kaczmarz or Gauss-Seidel for ridge regression A Hefny, D Needell, A Ramdas arXiv preprint arXiv:1507.05844, 2015	9	2015
Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction B Varadarajan, A Hefny, A Srivastava, KS Refaat, N Nayakanti, ... arXiv preprint arXiv:2111.14973, 2021	8	2021
Incremental combinatory categorial grammar and its derivations A Hefny, H Hassan, M Bahgat International Conference on Intelligent Text Processing and Computational …, 2011	6	2011
Exploring friend's influence in cultures in Twitter A Gupta, KP Sycara, GJ Gordon, A Hefny 2013 IEEE/ACM International Conference on Advances in Social Networks …, 2013	5	2013
Random walk features for network-aware topic models A Hefny, G Gordon, K Sycara NIPS 2013 Workshop on Frontiers of Network Analysis 6, 2013	5	2013
Is a query worth translating: ask the users! A Hefny, K Darwish, A Alkahky European Conference on Information Retrieval, 238-250, 2011	4	2011

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