Amr Ahmed

Amr Ahmed is a Senior Research Scientist at Google. He received his M.Sc and PhD degrees from the School of Computer Science, Carnegie Mellon University in 2009 and 2011, respectively. He received the best Paper Award at WSDM 2014, the 2012 ACM SIGKDD Doctoral Dissertation Award, and a best paper award (runner-up) at WSDM 2012. He will serve as an Area Chair for ICML 2014, ICDM 2014 and WSDM 2015. His research interests include large-scale machine learning, data/web mining, user modeling, personalization, social networks and content analysis. You can visit his homepage for more information.

Google Publications

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    Reducing the Sampling Complexity of Topic Models

    Aaron Li, Amr Ahmed, Sujith Ravi, Alexander J Smola

    ACM Conference on Knowledge Discovery and Data Mining (KDD) (2014) (to appear)

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    Scalable Hierarchical Multitask Learning Algorithms for Conversion Optimization in Display Advertising

    Amr Ahmed, Abhimanyu Das, Alexander J. Smola

    ACM International Conference on Web Search And Data Mining (WSDM) (2014)

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    Taxonomy Discovery for Personalized Recommendation

    Yuchen Zhang, Amr Ahmed, Vanja Josifovski, Alexander J Smola

    ACM International Conference on Web Search And Data Mining (WSDM) (2014)

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    Distributed Large-scale Natural Graph Factorization

    Amr Ahmed, Nino Shervashidze, Shravan Narayanamurthy,, Vanja Josifovski, Alexander J Smola

    Proceedings of the 22nd International World Wide Web Conference (WWW 2013) (to appear)

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    Focused Marix Factorization for Audience Selection in Display Advertising

    Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Lluis Garcia-Pueyo, Jeff Yuan

    Proceedings of the 29th International Conference on Data Engineering (ICDE) (2013) (to appear)

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    Hierarchical Geographical Modeling of User locations from Social Media Posts

    Amr Ahmed, Liangjie Hong, Alexander J Smola

    Proceedings of the 22nd International World Wide Web Conference (WWW 2013) (to appear)

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    KDD tutorial: The Dataminer Guide to Scalable Mixed-Membership and Nonparametric Bayesian Models

    Amr Ahmed, Alexander J Smola

    ACM conference on Knowledge Discovery and Data Mining (KDD) (2013) (to appear)

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    Latent Factor Models with Additive Hierarchically-smoothed User Preferences

    Amr Ahmed, Bhargav Kanagal, Sandeep Pandey, Vanja Josifovski, Lluis Garcia-Pueyo

    Proceedings of The 6th ACM International Conference on Web Search and Data Mining (WSDM) (2013) (to appear)

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    Measurement and modeling of eye-mouse behavior

    Vidhya Navalpakkam, LaDawn Jentzsch, Rory Sayres, Sujith Ravi, Amr Ahmed, Alex J. Smola

    Proceedings of the 22nd International World Wide Web Conference (2013)

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    Scalable Dynamic Nonparametric Bayesian Models of Content and Users

    Amr Ahmed, Eric P. Xing

    International Joint Conference on Artificial Intelligence (IJCAI - Best paper track) (2013) (to appear)

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    The Nested Chinese Restaurant Franchise Process: User Tracking and Document Modeling

    Amr Ahmed, Liangjie Hong, Alexander J Smola

    International Conference on Machine Learning (ICML) (2013) (to appear)

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    FastEx: Hash Clustering with Exponential Families

    Amr Ahmed, Sujith Ravi, Shravan Narayanamurthy, Alex Smola

    Proceedings of the 26th Conference on Neural Information Processing Systems. (NIPS) (2012)

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    Hokusai | Sketching Streams in Real Time

    Sergiy Matusevych, Alex Smola, Amr Ahmed

    Proceedings of the 28th International Conference on Conference on Uncertainty in Artificial Intelligence (UAI) (2012)

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    MedLDA: Maximum Margin Supervised Topic Models

    Jun Zhu, Amr Ahmed, Eric P. Xing

    Journal of Machine Learning Research (2012) (to appear)

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    Web-Scale Multi-Task Feature Selection for Behavioral Targeting

    Amr Ahmed, Mohamed Aly, Abhimanyu Das, Alex Smola, Tasos Anastasakos

    Proceedings of The 21st ACM International Conference on Information and Knowledge Management (CIKM), ACM (2012) (to appear)

Previous Publications

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    Discovering Geographical Topics In The Twitter Stream

    Liangjie Hong, Amr Ahmed, Siva Gurumurthy, Kostas Tsioutsiouliklis, Alex Smola

    Proceedings of The 21st International World Wide Web conference (WWW) (2012)

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    Fair and Balanced: Learning to Present News Stories

    Amr Ahmed, Choon-hui Teo, S.V.N Vishwanathan, Alex Smola

    Proceedings of The 5th ACM International Conference on Web Search and Data Mining (WSDM) (2012)

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    Hokusai - Sketching Streams in Real Time

    Sergiy Matusevych, Alex J. Smola, Amr Ahmed

    CoRR, vol. abs/1210.4891 (2012)

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    Scalable Inference in Latent Variable Models

    Amr Ahmed, Mohamed Aly, Joseph Gonzalez, Shravan Narayanamurthy, Alex Smola

    Proceedings of The 5th ACM International Conference on Web Search and Data Mining (WSDM) (2012)

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    Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior

    Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Jeff Yuan, Lluis Garcia Pueyo

    Proceedings of the 38th International Conference on Very Large Databases (VLDB) (2012)

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    Tutorial: New Templates for Scalable Data Analysis

    Amr Ahmed, Alex Smola, Markus Weimer

    The 21st International World Wide Web conference (WWW) (2012)

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

    Amr Ahmed

    Ph.D. Thesis (2011)

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    Online Inference for the Infinite Cluster-topic Model: Storylines from Streaming Text

    Amr Ahmed, Qirong Ho, Choon-hui Teo, Jacobe Eisenstein, Alex Smola, Eric Xing

    Proceedings of the 14th Conference on Artificial Intelligence and Statistics (AISTATS) (2011)

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    Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text

    Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alexander J. Smola, Eric P. Xing

    Journal of Machine Learning Research - Proceedings Track, vol. 15 (2011), pp. 101-109

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    Scalable Distributed Inference of Dynamic User Interests for Behavioral Targeting

    Amr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski, Alex Smola

    Proceedings of The 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2011., ACM

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    Sparse Additive Generative Models of Text

    Jacob Eisenstein, Amr Ahmed, Eric Xing

    Proceedings of the 28th International Conference on Machine Learning (ICML) (2011)

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    Tutorial: Latent Variable Models for the Internet

    Amr Ahmed, Alex Smola

    the 20th International World Wide Web conference (WWW) (2011)

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    Tutorial: Graphical Models for the Internet

    Amr Ahmed, Alex Smola

    The 25th Conference on Neural Information Processing Systems. (NIPS), (2011)

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    Unified analysis of streaming news

    Amr Ahmed, Qirong Ho, Jacob Eisenstein, Eric P. Xing, Alexander J. Smola, Choon Hui Teo

    WWW (2011), pp. 267-276

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    Uniļ¬ed Analysis of Streaming News

    Amr Ahmed, Qirong Ho, Jacob Eisenstein, Eric P. Xing, Alex Smola, Choon-hui Teo

    Proceedings of the 20th International World Wide Web conference (WWW) (2011)

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    WWW 2011 invited tutorial overview: latent variable models on the internet

    Amr Ahmed, Alexander J. Smola

    WWW (Companion Volume) (2011), pp. 281-282

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    Estimating Time-Varying Networks

    Mladen Kolar, Le Song, Amr Ahmed, Eric P. Xing

    Annals of Applied Statistics (AOAS) (2010)

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    Recovering Time-Varying Networks of Dependencies in Social and Biological Studies

    Amr Ahmed, Eric P. Xing

    Proceeding of the National Academy of Science (PNAS) (2010)

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

    Amr Ahmed, Eric P. Xing

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

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    Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature.

    Luis Pedro Coelho, Amr Ahmed, Andrew Arnold, Joshua Kangas, Saboor Sheikh, Eric P. Xing, William W. Cohen, Robert Murphey

    Lecture Notes in Bioinformatics, Springer (2010)

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    Structured Literature Image Finder: Parsing Text and Figures in Biomedical Literature

    Amr Ahmed, Andrew Arnold, Luis Pedro Coelho, Joshua Kangas, Saboor Sheikh, Eric P. Xing, William W. Cohen, Robert Murphy

    Journal of Web Semantics (2010)

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

    Amr Ahmed, Eric P. Xing

    Proceedings of the 26th International Conference on Conference on Uncertainty in Artificial Intelligence (UAI) (2010)

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    Collapsed Variational Inference for Time-Varying Dirichlet Process Mixture Models

    Amr Ahmed, Eric P. Xing

    Non-Parametric Bayes Workshop, NIPS (2009)

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    MedLDA: Maximum Margin Supervised Topic Models for Regression and Classification

    Jun Zhu, Amr Ahmed, Eric P. Xing

    The 26th International Conference on Machine Learning (ICML) (2009)

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    SLIF: Structure Literature Image Finer

    Amr Ahmed, Andrew Arnold, Luis Pedro Coelho, Joshua Kangas, Saboor Sheikh, Eric P Xing, William W Cohen, Robert Murphy

    The Annual Meeting of The ISMB BioLINK Special Interest Group : Text Mining, Image Analysis and the future of Scientific Publishing In Association with ISMB/ECCB (2009)

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    Structured Correspondence Topic Models for Mining Captioned Figures in Biological Literature

    Amr Ahmed, Eric P. Xing, William W. Cohen, Robert Murphy

    Proceedings of The Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) (2009)

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

    Amr Ahmed, Eric P Xing

    Proceedings of The Eighth SIAM International Conference on Data Mining (SDM) (2008)

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    Joint Latent Topic Models for Text and Citations

    Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen

    Proceedings of The Fourteen ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) (2008)

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

    Amr Ahmed, Le Song, Eric P Xing

    arXiv:0901.0138v2 (2008)

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

    Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xing

    Proceeding of the 10th European Conference of Computer Vision (ECCV) (2008)

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    Modeling Topic Evolution in Text Stream

    Amr Ahmed, Eric P Xing

    CMU-MLD Technical Report CMU-ML-07-117 (2007)

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    On Tight Approximate Inference of the Logistic Normal Topic Admixture Model

    Amr Ahmed, Eric P Xing

    The Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS) (2007)

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    Sparse Word Graphs: A scalable algorithm for capturing word correlations in topic models

    Ramesh Nallapati, Amr Ahmed, William W Cohen, Eric P. Xing

    In International Conference of Data Mining, Workshop on High performance data mining (ICDM WS) (2007)

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    Efficient Communication in Multi-Agent Systems

    Myeong-Wuk Jang, Amr Ahmed, Gul Agha

    Software Engineering for Multi-Agent Systems III: Research Issues and Practical Applications, LNCS 3390, Springer-Verlag (2005)

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    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, Gul Agha

    The International Conference of Integration of Knowledge Intensive Multi-Agent Systems KIMAS (2005)