Danny Tarlow

2011 - 2012       "Discrete optimization for probabilistic modeling, and for complex loss functions."

Randomized Optimum Models for Structured Prediction (2012)
Daniel Tarlow, Ryan Adams, and Richard Zemel.
To appear at The 15th International Conference on Artificial Intelligence and Statistics (AISTATS 2012).
[pdf + appendix]

Structured Output Learning with High Order Loss Functions (2012)
Daniel Tarlow and Richard Zemel.
To appear at The 15th International Conference on Artificial Intelligence and Statistics (AISTATS 2012).
[pdf + appendix]

Big and Tall: Large Margin Learning with High Order Losses (2011)
Daniel Tarlow and Richard Zemel.
CVPR 2011 Workshop on Inference in Graphical Models with Structured Potentials.
[pdf]

Early 2011       "Can we generalize ideas from combinatorial optimization for use in message passing?"

Graph Cuts is a Max-Product Algorithm (2011)
Daniel Tarlow, Inmar Givoni, Richard Zemel, and Brendan Frey.
The 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011).
Best Student Paper Award - Runner Up
[pdf] [arXiv version]

Dynamic Tree Block Coordinate Ascent (2011)
Daniel Tarlow, Dhruv Batra, Pushmeet Kohli, and Vladimir Kolmogorov.
The 28th International Conference on Machine Learning (ICML 2011).
[pdf]

2010       "Let's use high order potentials as general building blocks."

HOP-MAP: Efficient Message Passing with High Order Potentials (2010)
Daniel Tarlow, Inmar Givoni, and Richard Zemel.
The 13th International Conference on Artificial Intelligence and Statistics (AISTATS 2010)
(also at the Northeast Student Colloquium on Artificial Intelligence (NESCAI 2010)).
[pdf] [code] [bibtex]

Learning Articulated Structure and Motion (2010)
David Ross, Daniel Tarlow, and Richard Zemel
International Journal of Computer Vision (IJCV).
[journal] [webpage]

2009       "Year on 'sabbatical', working with Disney R&D."

Automatically Calibrating a Probabilistic Graphical Model of Building Energy Consumption (2009)
Daniel Tarlow, Andrew Peterman, Benedict Schwegler, and Christopher Trigg.
The 11th International Building Performance Simulation Association Conference on Building Simulation.
[pdf]

2008       "Clustering, message passing, and cardinality potentials."

Flexible Priors for Exemplar-based Clustering (2008)
Daniel Tarlow, Richard Zemel, and Brendan Frey.
The 24th Conference on Uncertainty in Artificial Intelligence (UAI 2008).
[pdf] [bibtex]

Unsupervised Learning of Skeletons from Motion (2008)
David Ross, Daniel Tarlow, and Richard Zemel.
The 10th European Conference on Computer Vision (ECCV 2008).
[pdf] [webpage]

2007       "End of undergrad; starting master's program."

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 2007).
[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 2006).
[pdf] [bibtex]

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Press

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Around the Web

• I write a machine learning blog.
• I sometimes contribute to my family's blog about all things Tarlow (non-technical stuff).

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Selected Talks

Graph Cuts is a Max-Product Algorithm
Uncertainty in Artificial Intelligence, Barcelona, Spain. Summer 2011.
[pdf coming soon]

Dynamic Tree Block Coordinate Ascent
International Conference on Machine Learning, Bellevue, Washington. Summer 2011.
[pptx] [pdf]

Learning with High Order Models and Loss Functions
Toronto Machine Learning Group Seminar, Toronto, Canada, Fall 2010.

Robust and Efficient Schedules for Chain and Grid Models in Infer.NET
Microsoft Research Cambridge, Cambridge, UK, Summer 2010.

On the Relationship Between Graph Cuts and Max-Product Belief Propagation
CBL Lab, University of Cambridge, Cambridge, UK, Summer 2010.

Max-Product Belief Propagation in High Order Factor Graphs
Toronto Machine Learning Group Seminar, Toronto, Canada, Fall 2009.
Microsoft Research Cambridge, Cambridge, UK, Summer 2009.

Automatically Calibrating a Probabilistic Graphical Model of Building Energy Consumption
IBPSA Conference on Building Simulation, Glasgow, Scotland, Summer 2009.

Flexible Priors for Exemplar-based Clustering
Uncertainty in Artificial Intelligence, Helsinki, Finland, Summer 2008.
Toronto Machine Learning Group Seminar, Toronto, Canada, Winter 2008.
[pdf] [video]

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 Seminar, Toronto, Canada, Fall 2006.
[ppt] [pdf]

The Role of Features in a Feedback-based Ranking System
Google TechTalk, Mountain View, California, Summer 2006.

Partition-based Inference in Markov Networks
with John Duchi.
Daphne's Approximate Group of Students, Stanford, California, Spring 2006.

Learning in General Games
with Lee Zen and Ankit Garg.
Stanford Logic Group, Stanford, California, Winter 2005.
[link]

Automated Grading of Logic-based Homework Problems
Stanford Logic Group, Stanford, California, Summer 2004.

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Other Stuff

Keyboard Shortcuts for Google Search in Your Browser Searchbox
Google labs has a product that lets you navigate search results using keyboard shortcuts. If you want to use keyboard shortcut Google search in your browser searchbox, you need to create an OpenSearch XML file describing the searchbox and ask the browser to load it. I did that here.
Update: Sadly, Google has killed this product.

- My take on March Madness predictions. (2011 Tournament Bracketology)

- My dad, who you should go see if you need knee surgery in Phoenix, AZ.