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    First name: Christopher
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    DBLP: r/ChristopherRe
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    Conference paper
    Ce Zhang, Christopher Ré, Michael J. Cafarella, Jaeho Shin 0001, Feiran Wang, Sen Wu 0002.
    DeepDive: declarative knowledge base construction.
    Commun. ACM 2017, Volume 60 (0) 2017
    Journal article
    Christopher De Sa, Alexander Ratner, Christopher Ré, Jaeho Shin 0001, Feiran Wang, Sen Wu 0002, Ce Zhang.
    Incremental knowledge base construction using DeepDive.
    VLDB J. 2017, Volume 26 (0) 2017
    Conference paper
    Ioannis Mitliagkas, Ce Zhang, Stefan Hadjis, Christopher Ré.
    Asynchrony begets momentum, with an application to deep learning.
    54th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2016, Monticello, IL, USA, September 27-30, 2016 2016 (0) 2016
    Journal article
    Stefan Hadjis, Ce Zhang, Ioannis Mitliagkas, Christopher Ré.
    Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Ce Zhang, Jaeho Shin 0001, Christopher Ré, Michael J. Cafarella, Feng Niu.
    Extracting Databases from Dark Data with DeepDive.
    Proceedings of the 2016 International Conference on Management of Data, SIGMOD Conference 2016, San Francisco, CA, USA, June 26 - July 01, 2016 2016 (0) 2016
    Journal article
    Christopher De Sa, Alexander Ratner, Christopher Ré, Jaeho Shin 0001, Feiran Wang, Sen Wu, Ce Zhang.
    DeepDive: Declarative Knowledge Base Construction.
    SIGMOD Record 2016, Volume 45 (0) 2016
    Journal article
    Xinghao Pan, Maximilian Lam, Stephen Tu, Dimitris S. Papailiopoulos, Ce Zhang, Michael I. Jordan, Kannan Ramchandran, Christopher Ré, Benjamin Recht.
    CYCLADES: Conflict-free Asynchronous Machine Learning.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Ioannis Mitliagkas, Ce Zhang, Stefan Hadjis, Christopher Ré.
    Asynchrony begets Momentum, with an Application to Deep Learning.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Ce Zhang, Arun Kumar, Christopher Ré.
    Materialization Optimizations for Feature Selection Workloads.
    ACM Trans. Database Syst. 2016, Volume 41 (0) 2016
    Conference paper
    Daniel J. Abadi, Rakesh Agrawal 0001, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey 0001, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom.
    The Beckman report on database research.
    Commun. ACM 2016, Volume 59 (0) 2016
    Journal article
    Emily K. Mallory, Ce Zhang, Christopher Ré, Russ B. Altman.
    Large-scale extraction of gene interactions from full-text literature using DeepDive.
    Bioinformatics 2016, Volume 32 (0) 2016
    Conference paper
    Ioannis Mitliagkas, Ce Zhang, Stefan Hadjis, Christopher Ré.
    Asynchrony begets Momentum, with an Application to Deep Learning
    ETH Zürich (0) 2016
    Conference paper
    Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré.
    Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms.
    Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada 2015 (0) 2015
    Conference paper
    Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré.
    Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width.
    Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada 2015 (0) 2015
    Journal article
    Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré.
    Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Stefan Hadjis, Firas Abuzaid, Ce Zhang, Christopher Ré.
    Caffe con Troll: Shallow Ideas to Speed Up Deep Learning.
    Proceedings of the Fourth Workshop on Data analytics in the Cloud, DanaC 2015, Melbourne, VIC, Australia, May 31 - June 4, 2015 2015 (0) 2015
    Journal article
    Yuke Zhu, Ce Zhang, Christopher Ré, Li Fei-Fei.
    Building a Large-scale Multimodal Knowledge Base for Visual Question Answering.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Jaeho Shin, Sen Wu, Feiran Wang, Christopher De Sa, Ce Zhang, Christopher Ré.
    Incremental Knowledge Base Construction Using DeepDive.
    PVLDB 2014, Volume 8 (0) 2015
    Journal article
    Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré.
    Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Firas Abuzaid, Stefan Hadjis, Ce Zhang, Christopher Ré.
    Caffe con Troll: Shallow Ideas to Speed Up Deep Learning.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Sen Wu, Ce Zhang, Feiran Wang, Christopher Ré.
    Incremental Knowledge Base Construction Using DeepDive.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Yingbo Zhou, Utkarsh Porwal, Ce Zhang, Hung Q. Ngo 0001, Long Nguyen, Christopher Ré, Venu Govindaraju.
    Parallel Feature Selection Inspired by Group Testing.
    Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada 2014 (0) 2014
    Conference paper
    Christopher Ré, Amir Abbas Sadeghian, Zifei Shan, Jaeho Shin, Feiran Wang, Sen Wu, Ce Zhang.
    Feature Engineering for Knowledge Base Construction.
    IEEE Data Eng. Bull. 2014, Volume 37 (0) 2014
    Conference paper
    Victor Bittorf, Marcel Kornacker, Christopher Ré, Ce Zhang.
    Tradeoffs in Main-Memory Statistical Analytics from Impala to DimmWitted.
    Proceedings of the 2nd International Workshop on In Memory Data Management and Analytics, IMDM 2014, Hangzhou, China, September 1, 2014. 2014 (0) 2014
    Conference paper
    Ce Zhang, Christopher Ré.
    DimmWitted: A Study of Main-Memory Statistical Analytics.
    PVLDB 2013, Volume 7 (0) 2014
    Journal article
    Ce Zhang, Christopher Ré, Amir Abbas Sadeghian, Zifei Shan, Jaeho Shin, Feiran Wang, Sen Wu.
    Feature Engineering for Knowledge Base Construction.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Shanan Peters, Ce Zhang, Miron Livny, Christopher Ré.
    A machine-compiled macroevolutionary history of Phanerozoic life.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Ce Zhang, Arun Kumar, Christopher Ré.
    Materialization optimizations for feature selection workloads.
    International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22-27, 2014 2014 (0) 2014
    Journal article
    Ce Zhang, Christopher Ré.
    DimmWitted: A Study of Main-Memory Statistical Analytics.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Tushar Khot, Ce Zhang, Jude W. Shavlik, Sriraam Natarajan, Christopher Ré.
    Bootstrapping Knowledge Base Acceleration.
    Proceedings of The Twenty-Second Text REtrieval Conference, TREC 2013, Gaithersburg, Maryland, USA, November 19-22, 2013 2013 (0) 2013
    Conference paper
    John R. Frank, Steven J. Bauer, Max Kleiman-Weiner, Daniel A. Roberts, Nilesh Tripuraneni, Ce Zhang, Christopher Ré, Ellen M. Voorhees, Ian Soboroff.
    Evaluating Stream Filtering for Entity Profile Updates for TREC 2013.
    Proceedings of The Twenty-Second Text REtrieval Conference, TREC 2013, Gaithersburg, Maryland, USA, November 19-22, 2013 2013 (0) 2013
    Conference paper
    Srikrishna Sridhar, Stephen J. Wright, Christopher Ré, Ji Liu, Victor Bittorf, Ce Zhang.
    An Approximate, Efficient LP Solver for LP Rounding.
    Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States. 2013 (0) 2013
    Conference paper
    Srikrishna Sridhar, Victor Bittorf, Ji Liu 0002, Ce Zhang, Christopher Ré, Stephen J. Wright.
    An Approximate, Efficient Solver for LP Rounding.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Vidhya Govindaraju, Ce Zhang, Christopher Ré.
    Understanding Tables in Context Using Standard NLP Toolkits.
    Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013, 4-9 August 2013, Sofia, Bulgaria, Volume 2: Short Papers 2013 (0) 2013
    Conference paper
    Ce Zhang, Vidhya Govindaraju, Jackson Borchardt, Tim Foltz, Christopher Ré, Shanan Peters.
    GeoDeepDive: statistical inference using familiar data-processing languages.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2013, New York, NY, USA, June 22-27, 2013 2013 (0) 2013
    Conference paper
    Ce Zhang, Christopher Ré.
    Towards high-throughput gibbs sampling at scale: a study across storage managers.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2013, New York, NY, USA, June 22-27, 2013 2013 (0) 2013
    Conference paper
    Michael Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael J. Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher Ré, Ce Zhang.
    Brainwash: A Data System for Feature Engineering.
    CIDR 2013, Sixth Biennial Conference on Innovative Data Systems Research, Asilomar, CA, USA, January 6-9, 2013, Online Proceedings 2013 (0) 2013
    Conference paper
    John R. Frank, Max Kleiman-Weiner, Daniel A. Roberts, Feng Niu, Ce Zhang, Christopher Ré, Ian Soboroff.
    Building an Entity-Centric Stream Filtering Test Collection for TREC 2012.
    Proceedings of The Twenty-First Text REtrieval Conference, TREC 2012, Gaithersburg, Maryland, USA, November 6-9, 2012 2012 (0) 2012
    Conference paper
    Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik.
    Elementary: Large-Scale Knowledge-Base Construction via Machine Learning and Statistical Inference.
    Int. J. Semantic Web Inf. Syst. 2012, Volume 8 (0) 2012
    Conference paper
    Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik.
    Scaling Inference for Markov Logic via Dual Decomposition.
    12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012 2012 (0) 2012
    Conference paper
    Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik.
    DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference.
    Proceedings of the Second International Workshop on Searching and Integrating New Web Data Sources, Istanbul, Turkey, August 31, 2012 2012 (0) 2012
    Conference paper
    Ce Zhang, Feng Niu, Christopher Ré, Jude W. Shavlik.
    Big Data versus the Crowd: Looking for Relationships in All the Right Places.
    The 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea - Volume 1: Long Papers 2012 (0) 2012
    Journal article
    Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik.
    Felix: Scaling Inference for Markov Logic with an Operator-based Approach
    CoRR 2011, Volume 0 (0) 2011
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