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All publications by Daniel Tarlow
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Bimodal Modelling of Source Code and Natural Language
Miltos Allamanis, Daniel Tarlow, Andrew Gordon and Yi Wei
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Structured Generative Models of Natural Source Code
Chris Maddison and Daniel Tarlow
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Just-In-Time Learning for Fast and Flexible Inference
S. Eslami, Daniel Tarlow, Pushmeet Kohli and John Winn
Advances in Neural Information Processing Systems 27, 2014


A\ast Sampling
Chris J. Maddison, Daniel Tarlow and Tom Minka
Advances in Neural Information Processing Systems 27, 2014


Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning
Daniel Tarlow, Kevin Swersky, Laurent Charlin, Ilya Sutskever and Rich Zemel
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning to Pass Expectation Propagation Messages
Nicolas Heess, Daniel Tarlow and John Winn
Advances in Neural Information Processing Systems 26, 2013


Cardinality Restricted Boltzmann Machines
Kevin Swersky, Ilya Sutskever, Daniel Tarlow, Richard S. Zemel, Ruslan Salakhutdinov and Ryan P. Adams
Advances in Neural Information Processing Systems 25, 2012


Probabilistic n-Choose-k Models for Classification and Ranking
Kevin Swersky, Brendan J. Frey, Daniel Tarlow, Richard S. Zemel and Ryan P. Adams
Advances in Neural Information Processing Systems 25, 2012


Structured Output Learning with High Order Loss Functions
Daniel Tarlow and Richard S. Zemel
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Randomized Optimum Models for Structured Prediction
Daniel Tarlow, Ryan P. Adams and Richard S. Zemel
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Dynamic Tree Block Coordinate Ascent
Daniel Tarlow, Dhruv Batra, Pushmeet Kohli and Vladimir Kolmogorov
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


HOP-MAP: Efficient Message Passing with High Order Potentials
Daniel Tarlow, Inmar E. Givoni and Richard S. Zemel
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Using Combinatorial Optimization within Max-Product Belief Propagation
Daniel Tarlow, Gal Elidan, Daphne Koller and John C. Duchi
Advances in Neural Information Processing Systems 19, 2006