Danny Tarlow - Machine Learning Ph.D. StudentUniversity of TorontoDepartment of Computer Science Machine Learning Group dtarlow cs toronto edu |
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I'm currently on leave, splitting my time between modeling damage to oil platforms resulting from hurricanes and doing research. Previously during my leave, I was learning about the physics and uncertainty associated with modeling how we use energy in cities and buildings.
You can usually find me in San Francisco, but sometimes I hang around the machine learning people at UC Berkeley.
Learning Articulated Skeletons From Motion (2007)
David Ross,
Daniel Tarlow, and
Richard Zemel.
Workshop on Dynamical Vision at International Conference on Computer Vision (WDV-ICCV).
[pdf]
[webpage]
[bibtex]
Using Combinatorial Optimization within Max-Product Belief Propagation (2007)
John Duchi,
Daniel Tarlow,
Gal Elidan, and
Daphne Koller.
Advances in Neural Information Processing Systems (NIPS 19).
[pdf]
[bibtex]
Learning Articulated Skeletons from Motion
CIFAR Summer School on Neural Computation and Adaptive Perception,
Summer 2007.
[pdf]
Using Combinatorial Optimization within Max-Product Belief Propagation
Toronto Machine Learning Group,
Fall 2006.
[ppt] [pdf]
The Role of Features in a Feedback-based Ranking System
Google TechTalk,
Summer 2006.
Partition-based Inference in Markov Networks
with John Duchi.
DAGS,
Spring 2006.
Learning in General Games
with Lee Zen and Ankit Garg.
Stanford Logic Group,
Winter 2005.
[link]
Automated Grading of Logic-based Homework Problems
Stanford Logic Group,
Summer 2004.