Amr Ahmed, PhD (CMU)

 

Google Research Scientist

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]

 

 Modeling Users and Content: Structured Probabilistic Representation, and Scalable Online Inference Algorithms

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. 

[Supplementary material]

 

 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

 

 Staying Informed: Supervised and Semi-Supervised Multi-view Topical Analysis of Ideological Perspective 

Amr Ahmed and Eric P. Xing.

Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2010.

 

 Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream.

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

 Training Hierarchical Feed-forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks.

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.

 

 Dynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant Process : with Applications to Evolutionary Clustering.

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

 

 Time-Varying Networks: Recovering Temporally Rewiring Genetic Networks During the Life Cycle of Drosophila melanogaster

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.