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Amr Ahmed, PhD (CMU)
Google Research Scientist |
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2013
● Latent Factor Models with Additive and Hierarchically-smoothed User Preferences Amr Ahmed, Bhargav Kanagal, Sandeep Pandey, Vanja Josifovski, Lluis Garcia and Jeff Yuan. Proceedings of The 6th ACM International Conference on Web Search and Data Mining (WSDM), 2013.
● Focused Marix Factorization for Audience Selection in Display Advertising Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Lluis Garcia and Jeff Yuan. Proceedings of the 29th International Conference on Data Engineering (ICDE), 2013.
2012
● FastEx: Hash Clustering with Exponential Families. Amr Ahmed, Sujith Ravi, Shravan Narayanamurthy and and Alex Smola. Proceedings of the 26th Conference on Neural Information Processing Systems. (NIPS), 2012.
● Hokusai - Sketching Streams in Real Time Sergiy Matusevych, Alex Smola and and Amr Ahmed. Proceedings of the 28th International Conference on Conference on Uncertainty in Artificial Intelligence. (UAI), 2012.
● MedLDA: Maximum Margin Supervised Topic Models Jun Zhu, Amr Ahmed and and Eric P. Xing. Journal of Machine Learning Research (JMLR), 2012.
● Supercharging Recommender Systems using Taxonomies For Learning User Purchase Behavior Bhargav Kanagal*, Amr Ahmed*, Sandeep Pandey, Vanja Josifovski, Lluis Garcia and Jeff Yuan. Proceedings of the 38th International Conference on Very Large Databases (VLDB), 2012. * indicates co-first authorship
● New Templates for Scalable Data Analysis Amr Ahmed, Alexander Smola and Markus Weimer Tutorial at The 21st International World Wide Web conference (WWW), 2012. Part 1: Machine Learning and Systems Part 2: Synchronized Patterns Part 3: Distributed Latent Variable Models Part 4: User Modeling and Graph Factorization
● Discovering Geographical Topics from Twitter Streams Liangjie Hong, Amr Ahmed, Siva Gurumurthy, Alexander J. Smola, and Kostas Tsioutsiouliklis. Proceedings of The 21st International World Wide Web conference (WWW), 2012.
● Scalable Inference in Latent Variable Models Amr Ahmed, Mohamed Aly, Joseph Gonzalez, Shravan Narayanamurthy and Alexander J. Smola. Proceedings of The 5th ACM International Conference on Web Search and Data Mining (WSDM), 2012. Best Paper Award (Runner-Up). See our NIPS 2011 Tutorial for a thorough presentation of the ideas in this paper and beyond [Video]
● Fair and Balanced: Learning to Present News Stories Amr Ahmed*, Choon Hui Teo*, S.V. N. Vishwanathan, and Alexander J. Smola. Proceedings of The 5th ACM International Conference on Web Search and Data Mining (WSDM), 2012. * indicates co-first authorship
● Web-Scale Multi-Task Feature Selection for Behavioral Targeting Amr Ahmed*, Mohamed Aly*, Abhimanyu Das*, Alex Smola, and Tasos Anastasakos. Proceedings of The 21st ACM International Conference on Information and Knowledge Management (CIKM), 2012.
2011
● Graphical Models for the Internet Amr Ahmed and Alexander Smola Tutorial at Neural Information Processing Conference (NIPS), 2011. [Slide sources for Part I and Part II] [Video]
Amr Ahmed PhD Thesis, School of Computer Science, Carnegie Mellon University, 2011. Received the ACM SIGKDD Doctoral Dissertation Award.
● Scalable Distributed Inference of Dynamic User Interests for Behavioral Targeting Amr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski and Alexander J. Smola. Proceedings of The 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2011.
● Sparse Additive Generative Models of Text Jacob Eisenstein, Amr Ahmed and Eric P. Xing. Proceedings of the 28th International Conference on Machine Learning (ICML), 2011.
● Latent Variable Models for the Internet Amr Ahmed and Alexander Smola Tutorial at the 20th International World Wide Web conference (WWW), 2011.
● Online Inference for the Infinite Cluster-topic Model: Storylines from Streaming Text Amr Ahmed , Qirong Ho , Choon Hui Teo , Jacob Eisenstein , Alexander J. Smola and Eric P. Xing. Proceedings of the 14th Conference on Artificial Intelligence and Statistics (AISTATS), 2011.
● Unified Analysis of Streaming News Amr Ahmed , Qirong Ho , Jacob Eisenstein, Eric P. Xing, Alexander J. Smola and Choon Hui Teo Proceedings of the 20th International World Wide Web conference (WWW), 2011.
2010
Amr Ahmed and Eric P. Xing. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2010.
Amr Ahmed and Eric P. Xing. Proceedings of the 26th International Conference on Conference on Uncertainty in Artificial Intelligence (UAI), 2010. - An earlier version appeared in the Topic Models Workshop at (NIPS WS), 2009.
● Estimating Time-Varying Networks Mladen Kolar, Le Song, Amr Ahmed, Eric P. Xing. Annals of Applied Statistics (AOAS), Volume 4, Number 1, 94-123, 2010
● Structured Literature Image Finder: Parsing Text and Figures in Biomedical Literature Amr Ahmed, Andrew Arnold, Luis Pedro Coelho, Joshua Kangas, Abdul-Saboor Sheikk, Eric P. Xing, William W. Cohen, and Robert F. Murphy Journal of Web Semantics (JWS), 2010. A non-technical overview of the SLIF project Finalist (4 out of 70 teams) in the Elsevier Grand Challenge - Shorter version appeared in Biolink-2009, in association with ISMB-ECCB 2009.
● Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature. Luis Pedro Coelho, Amr Ahmed, Andrew Arnold, Joshua Kangas, Abdul-Saboor Sheikk, Eric P. Xing, William W. Cohen, and Robert F. Murphy. Lecture Notes in Bioinformatics (LNBI), 2010. a slightly technical overview of the SLIF project with a slight focus on the image processing part - Longer version appeared as CMU-CB-09-101.
2009
● Recovering Time-Varying Networks of Dependencies in Social and Biological Studies. Amr Ahmed and Eric P. Xing. Proceeding of the National Academy of Science (PNAS) , vol. 106, no. 29, 11878-11883, 2009. - An earlier version appeared in Workshop on Statistical Models of Networks. (NIPS WS 2007).
● Structured Correspondence Topic Models for Mining Captioned Figures in Biological Literature. Amr Ahmed, Eric P. Xing, William W. Cohen and Robert F. Murphy. Proceedings of The Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2009.
● MedLDA: Maximum Margin Supervised Topic Models for Regression and Classification. Jun Zhu, Amr Ahmed and Eric P. Xing The 26th International Conference on Machine Learning (ICML), 2009.
● Collapsed Variational Inference for Time-Varying Dirichlet Process Mixture Models. Amr Ahmed and Eric Xing. Nonparametric Bayes Workshop at (NIPS WS), 2009.
2008
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, and Eric P. Xing Proceeding of the 10th European Conference of Computer Vision (ECCV), 2008 — Oral 4.6%
● Joint Latent Topic Models for Text and Citations. Ramesh Nallapati, Amr Ahmed, Eric P. Xing, and William W. Cohen Proceedings of The Fourteen ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2008.
Amr Ahmed and Eric P. Xing. Proceedings of The Eighth SIAM International Conference on Data Mining (SDM), 2008. Invited (as best of SDM'08 -- 6 papers) for a Special Issue of the Journal of Statistical Analysis and Data Mining. - A synopsis of this paper will appear in the Nonparametric Bayes Workshop at (ICML WS 2008). - Earlier version appeared as: CMU-MLD Technical Report CMU-ML-07-116, 2007
Amr Ahmed*, Le Song*, and Eric P. Xing Manuscript, arXiv:0901.0138. , Also available as CMU-MLD Technical Report. CMU-ML-08-118, 2008. - A shorter version appeared in the RECOMB System Biology Satellite Meeting, Boston, 2008.
2007
● On Tight Approximate Inference of the Logistic Normal Topic Admixture Model Amr Ahmed and Eric P. Xing The Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS), 2007.
● Sparse Word Graphs: A scalable algorithm for capturing word correlations in topic models. Ramesh Nallapati, Amr Ahmed, William W. Cohen and Eric P. Xing. In International Conference of Data Mining, Workshop on High performance data mining (ICDM WS 2007)
● Modeling Topic Evolution in Text Stream. Amr Ahmed and Eric P. Xing CMU-MLD Technical Report CMU-ML-07-117, 2007.
Prior to 2007
● Task Assignment for a Physical Agent Team via a Dynamic Forward/Reverse Auction Mechanism. Amr Ahmed, Abhilash Patel, Tom Brown, MyungJoo Ham, Myeong-Wuk Jang and Gul Agha The International Conference of Integration of Knowledge Intensive Multi-Agent Systems KIMAS '05. 18 - 21 April, 2005.
● Efficient Communication in Multi-Agent Systems Myeong-Wuk Jang, Amr Ahmed and Gul Agha Software Engineering for Multi-Agent Systems III: Research Issues and Practical Applications, LNCS 3390, Springer-Verlag, pp. 236-253, 2005.
● ATSpace: A Middle Agent to Support Application-Oriented Matchmaking and Brokering Services Myeong-Wuk Jang, Amr Ahmed and Gul Agha IEEE/WIC/ACM IAT(Intelligent Agent Technology)-2004, pp. 393-396, September 20-24, Beijing, China, 2004.
● A Flexible Coordination Framework for Application-Oriented Matchmaking and Brokering Services Myeong-Wuk Jang, Amr Ahmed and Gul Agha Technical Report UIUCDCS-R-2004-2430, Department of Computer Science, University of Illinois at Urbana-Champaign, April, 2004.
● GTPOT-RL For Multiagent Teamwork Amr Ahmed and Nevin Darwish Journal of Engineering and Applied Science, Vol 50, No 3, June 2003, pp. 537-552. , 2003, Cairo University, Egypt.
● Reinforcement Learning for Multi-agent Teamwork Amr Ahmed. MSc. thesis, Faculty of Engineering, Cairo University, Egypt, August, 2002.
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