A picture of Joseph Gonzalez in Seattle.

Graduate Student

Machine Learning Department
Carnegie Mellon University

Address:
Joseph Gonzalez
Machine Learning Department
Carnegie Mellon University
Pittsburgh, PA 15232

Phone: (626) 394-2853 Call me!
Email Address:

I am currently a third year graduate student in the Machine Learning Department at Carnegie Mellon University (CMU). My research interests are in statistical machine learning, fast parallel and distributed learning, sensor networks, and designing algorithms that learn and adapt to changing environments. Currently I am working with Carlos Guestrin on fast parallel inference in large graphical models on multicore and cluster architectures.

Checkout our workshop on parallel machine learning.

We recently protested important machine learning issues at the G20 in Pittsburgh. To learn more about how you can Support Vector Machines checkout out our entertaining pictures.

Publications:

  • Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David O`Hallaron (2009). "Distributed Parallel Inference on Large Factor Graphs." Conference on Uncertainty in Artificial Intelligence (UAI). [abs/bib] [pdf] [pptx]
  • Joseph Gonzalez, Yucheng Low, and Carlos Guestrin (2009). "Residual Splash for Optimally Parallelizing Belief Propagation." In Artificial Intelligence and Statistics (AISTATS). [abs/bib] [pdf] [pptx]