Amazon Professor of Machine Learning
Associate Professor in Computer Science & Engineering
Adjunct Professor in Statistics Department
The Second GraphLab Workshop on Large-Scale Machine Learning was held on July 1st, 2013 in San Francisco, with about 600 experts and practitioners from industry and academia in attendance.
The First GraphLab Workshop on Large-Scale Machine Learning was held on July 9th, 2012 in San Francisco, with about 300 experts and practitioners from industry and academia in attendance.
2012 IJCAII-JAIR Best Paper runner-up prize for Optimal Value of Information in Graphical Models with Andreas Krause.
I am co-organizing the NIPS 2011 Big Learning Workshop, focusing on algorithms, systems, and tools for learning at scale.
Recently released code for GraphLab, our framework that makes it very easy to design and implement parallel machine learning algorithms.
Best Paper Award at KDD 2010 for Connecting the Dots Between News Articles with Dafna Shahaf.
Best Student Paper Award at AISTATS 2010 for Focused Belief Propagation for Query-Specific Inference with Anton Chechetka.
The slides and video of my IJCAI 2009 Computers and Thought Award talk are now available.
Best Research Paper Award from the ASCE Journal of Water Resources Planning and Management Engineering for Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks with Andreas Krause, Jure Leskovec, Jeanne VanBriesen, and Christos Faloutsos.
Our NIPS 2009 workshops:
Andreas Krause and I gave a tutorial at ICML 2008 entitled "Beyond Convexity: Submodularity in Machine Learning."
Honorable Mention for Outstanding Paper Award at NIPS 2007 for Efficient Inference for Distributions on Permutations with Jon Huang and Leo Guibas.
Best Paper Award at KDD 2007 for Cost-effective Outbreak Detection in Networks with Jure Leskovec, Andreas Krause, Christos Faloutsos, Jeanne VanBriesen and Natalie Glance.
2007 IJCAII-JAIR Best Paper prize for Efficient Solution Algorithms for Factored MDPs with Daphne Koller, Ron Parr and Shobha Venkataraman.
Best Paper Award at IPSN 2006 for Near-optimal Sensor Placements: Maximizing Information while Minimizing Communication Cost with Andreas Krause, Anupam Gupta and Jon Kleinberg.
Best Paper Runner-Up Award at ICML 2005 for Near-Optimal Sensor Placements in Gaussian Processes with Andreas Krause and Ajit Singh.
Best Paper Runner-Up Award at UAI 2005 for Near-Optimal Nonmyopic Value of Information in Graphical Models with Andreas Krause.
Best Paper Award at IPSN 2005 for A Robust Architecture for Distributed Inference in Sensor Networks with Mark Paskin and Jim McFadden.
Best Paper Award at VLDB 2004 for Model-Driven Data Acquisition in Sensor Networks with Amol Deshpande, Sam Madden, Joseph Hellerstein and Wei Hong.
Best Paper Award at NIPS 2003 for Max-Margin Markov Networks with Ben Taskar and Daphne Koller.