You can also see my publications on Google Scholar.

Conference Papers

• Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi Pang Lam, Dragomir Anguelov, Benjamin Sapp, “MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction”, ICRA 2022 (to appear).
• Ahmed Hefny, Zita Marinho, Wen Sun, Siddhartha Srinivasa and Geoffrey Gordon, "Recurrent Predictive State Policy Networks", ICML 2018 [preprint]
• Lin Ma, Dana Van Aken, Ahmed Hefny, Gustavo Mezerhane, Andrew Pavlo and Geoffrey Gordon, "Query-based Workload Forecasting for Self-Driving Database Management Systems", SIGMOD 2018
• Ahmed Hefny, Carlton Downey and Geoffrey Gordon, "An Efficient, Expressive and Local Minima-free Method for Learning Controlled Dynamical Systems", AAAI 2018 [preprint][code]
• Carlton Downey, Ahmed Hefny and Geoffrey Gordon, "Predictive State Recurrent Neural Networks", NIPS 2017 [preprint][code]
• Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabás Póczos and Alexander Smola, "Stochastic Variance Reduction for Nonconvex Optimization", ICML 2016 [preprint and supplementary]
• Ahmed Hefny, Carlton Downey and Geoffrey Gordon, "Supervised Learning for Dynamical System Learning", NIPS 2015
[preprint and supplementary]
• Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabás Póczos and Alexander Smola, "On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants", NIPS 2015 [code]
• Sashank Reddi*, Ahmed Hefny*, Carlton Downey, Avinava Dubey, Suvrit Sra, "Large-scale randomized-coordinate descent methods with non-separable linear constraints", UAI 2015 [preprint and supplementary]
• Avinava Dubey, Ahmed Hefny, Sinead Williamson and Eric Xing, "A Non-parametric Mixture Model for Topic Modeling Over Time", SDM 2013
[preprint]
• Ahmed Hefny, Kareem Darwish and Ali Alkahky, "Is a Query Worth Translating: Ask the Users!", ECIR 2011
• Ahmed Hefny, Hany Hassan and Mohamed Bahgat, "Incremental Combinatory Categorial Grammar and its Derivations", CICLING 2011
• Ahmed Hefny and Amir Atiya, "A New Monte Carlo-based Error Rate Estimator", ANNPR 2010
• Ahmed S. Hefny, Ayat A. Hatem, Mahmoud M. Shalaby and Amir F. Atiya, "Cerberus: Applying Supervised and Reinforcement Learning Techniques to Capture the Flag Games", AIIDE 2008

Journal Papers

• Ahmed Hefny*, Deanna Needell* and Aaditya Ramdas*, "Rows vs. Columns: Randomized Kaczmarz or Gauss-Seidel for Ridge Regression", SIAM Journal of Scientific Computing, 2017. [arXiv preprint]

Refereed Short Papers and Workshops

• A.Hefny, C. Downey, Z. Marinho, W. Sun, S. Srinivasa and G. Gordon, "Predictive State Models for Prediction and Control in Partially Observable Environments", Conference on Robot Learning (CoRL) 2017
• A. Hefny, R. Kass, S. Khanna, M. Smith and G. Gordon, "Fast and Improved SLEX Analysis of High-dimensional Time Series", NIPS 2014 Workshop on Machine Learning and Interpretation in Neuroimaging
• Ahmed Hefny, Sashank Reddi and Suvrit Sra, "Coordinate Descent Algorithms With Coupling Constraints : Lessons Learned", NIPS 2014 Workshop on Software Engineering for Machine Learning
• Ahmed Hefny, Geoffrey Gordon and Katia Sycara, "Random Walk Features for Network-aware Topic Models", NIPS 2013 Workshop on "Frontiers of Network Analysis"
• A. Madkour, T. Hefni, A. Hefny and K. S. Refaat, "Using Semantic Features to Detect Spamming in Social Bookmarking Systems", ECML PKDD Discovery Challenge, 2008

Theses

• A New View of Predictive State Methods for Dynamical System Learning, Data Analysis Project, Carnegie Mellon University, 2015
• Error Rate Estimation for Small Sample Sized Problems, MSc thesis, Cairo University, 2010