TerraSwarm Member Directory

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photo of Carlos Guestrin
 
Carlos Guestrin
    University of Washington

Username:guestrin
 
 
 
 
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Home page:http://homes.cs.washington.edu/~guestrin/
Bio:  Carlos Guestrin is the Amazon.com Associate Professor of Machine Learning at the Computer Science and Engineering Department of the University of Washington. He leads the GraphLab project for large-scale machine learning, which has received thousands of downloads and is widely used in academia and industry. GraphLab will provide the core of the cloud data analysis and machine learning component for the TerraSwarm.
Group memberships

Papers, Presentations and Reports Authored by Carlos Guestrin

  1. XGBoost: A Scalable Tree Boosting System, Tianqi Chen, Carlos Guestrin, LearningSys, December, 2015. Posted on 30 Mar 2016.
  2. Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization., Tyler Johnson, Carlos Guestrin, International Conference on Machine Learning (ICML), 2015. Posted on 10 Aug 2015.
  3. Q1 2015 TerraSwarm Quarterly Report Milestone #10, Edward A. Lee, Tajana Simunic Rosing, John Wawrzynek, Prabal Dutta, Anthony Rowe, Richard Murray, Jeffrey A. Bilmes, Alberto Sangiovanni-Vincentelli, Sanjit Seshia, Jan Rabaey, Douglas L. Jones, Stephane Lafortune, Alex Halderman, David Blaauw, Roozbeh Jafari, Carlos Guestrin, Emily B. Fox, Rahul Mangharam, George Pappas, Vijay Kumar, Bjoern Hartmann, John D. Kubiatowicz, TerraSwarm Research Center, February, 2015. Posted on 25 Feb 2015.
  4. Efficient Second-Order Gradient Boosting for Conditional Random Fields, Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin, International Conference on Artificial Intelligence and Statistics (AISTATS), 2015. Posted on 31 Jan 2015.
  5. Interactive Matrix Factorization, Sameer Singh, Carlos Guestrin, 28, October, 2014. Posted on 10 Nov 2014.
  6. StreamLab: Large-Scale Machine Learning on Streams, Sameer Singh, Ignacio Cano, Tianqi Chen, Marco Ribeiro, Carlos Guestrin, 28, October, 2014. Posted on 10 Nov 2014.
  7. Divide-and-Conquer Learning by Anchoring a Conical Hull, Tianyi Zhou, Jeffrey A. Bilmes, Carlos Guestrin, October, 2014. Posted on 4 Nov 2014.
  8. Streaming Document Filtering using Distributed Non-Parametric Representations, Ignacio Cano, Sameer Singh, Carlos Guestrin, 30, October, 2014. Posted on 4 Nov 2014.
  9. Divide-and-Conquer Learning by Anchoring a Conical Hull, Tianyi Zhou, Jeffrey A. Bilmes, Carlos Guestrin, Neural Information Processing Systems Conference (NIPS), December, 2014. Posted on 3 Nov 2014.
  10. Stochastic Gradient Hamiltonian Monte Carlo, Tianqi Chen, Emily B. Fox, Carlos Guestrin, International Conference on Machine Learning, 21, June, 2014. Posted on 27 Apr 2014.
  11. Q1 2014 TerraSwarm Quarterly Report Milestone #5, David Blaauw, Prabal Dutta, Kevin Fu, Carlos Guestrin, Roozbeh Jafari, Douglas L. Jones, John D. Kubiatowicz, Vijay Kumar, Edward A. Lee, Richard Murray, George Pappas, Jan Rabaey, Tajana Simunic Rosing, Anthony Rowe, Alberto Sangiovanni-Vincentelli, Sanjit Seshia, John Wawrzynek, David Wessel, TerraSwarm Research Center, March, 2014. Posted on 6 Mar 2014.
  12. 2013 Q3 TerraSwarm Summary and Metrics, Edward A. Lee, David Blaauw, Prabal Dutta, Kevin Fu, Carlos Guestrin, Roozbeh Jafari, Douglas L. Jones, John D. Kubiatowicz, John Wawrzynek, Vijay Kumar, Alberto Sangiovanni-Vincentelli, Carl Sechen, Sanjit Seshia, Jan Rabaey, Tajana Simunic Rosing, George Pappas, Richard Murray, David Wessel, TerraSwarm Research Center, November, 2013. Posted on 6 Dec 2013.
  13. The Swarm at the Edge of the Cloud, Edward A. Lee, Jan Rabaey, David Blaauw, Prabal Dutta, Kevin Fu, Carlos Guestrin, Bjoern Hartmann, Roozbeh Jafari, Douglas L. Jones, John D. Kubiatowicz, Vijay Kumar, Rahul Mangharam, Brian T. Murray, George Pappas, Kris Pister, Anthony Rowe, Alberto Sangiovanni-Vincentelli, Sanjit Seshia, Tajana Simunic Rosing, Ben Taskar, John Wawrzynek, David Wessel, IEEE Design and Test of Computers on Cloud Computing for Embedded Systems, 31, 3, 8-20, June, 2014. Posted on 23 Sep 2013.
  14. The Q1 2013 TerraSwarm Quarterly Report, David Blaauw, Prabal Dutta, Kevin Fu, Carlos Guestrin, Roozbeh Jafari, Douglas L. Jones, John D. Kubiatowicz, Vijay Kumar, Edward A. Lee, Richard Murray, George Pappas, Jan Rabaey, Tajana Simunic Rosing, Anthony Rowe, Alberto Sangiovanni-Vincentelli, Carl Sechen, Sanjit Seshia, Ben Taskar, John Wawrzynek, David Wessel, The TerraSwarm Research Center, TSRC01, May, 2013. Posted on 30 May 2013.
  15. GraphLab(2): Machine Learning for Big Data in the Cloud, Carlos Guestrin, May, 2013. Posted on 6 May 2013.
  16. Theme 3: Services and Cloud Interaction, Richard Murray, Ben Taskar, Kevin Fu, Carlos Guestrin, Vijay Kumar, George Pappas, Anthony Rowe, 29, January, 2013. Posted on 29 Jan 2013.
  17. Machine Learning for Big Data in the Cloud, Carlos Guestrin, 29, January, 2013. Posted on 29 Jan 2013.
  18. The TerraSwarm Research Center (TSRC) (A White Paper), Edward A. Lee, John D. Kubiatowicz, Jan Rabaey, Alberto Sangiovanni-Vincentelli, Sanjit Seshia, John Wawrzynek, David Blaauw, Prabal Dutta, Kevin Fu, Carlos Guestrin, Roozbeh Jafari, Douglas L. Jones, Vijay Kumar, Richard Murray, George Pappas, Anthony Rowe, Carl Sechen, Tajana Simunic Rosing, Ben Taskar, EECS Department, University of California, Berkeley, UCB/EECS-2012-207, November, 2012. Posted on 6 Jan 2013.

Counts

  • 1 Journal article.
  • 4 Conference papers.
  • 6 Technical reports.
  • 3 Talk or presentations.
  • 3 Posters.
  • 1 Tutorial.

The counts above are from the publications database. The number of posters is derived from the presentations.

Note: A poster is a presentation that has the word 'poster' (case-insensitive) in the any of the text fields. Thus, the poster count might be somewhat inaccurate. The number of posters is deducted from the number of presentations and bother are reported.