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All publications by Jonathan Huang
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Learning Program Embeddings to Propagate Feedback on Student Code
Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami and Leonidas Guibas
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Deep Knowledge Tracing
Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas and Jascha Sohl-dickstein
Advances in Neural Information Processing Systems 28, 2015


Probabilistic Event Cascades for Alzheimer's disease
Jonathan Huang and Daniel Alexander
Advances in Neural Information Processing Systems 25, 2012


Learning Hierarchical Riffle Independent Groupings from Rankings
Jonathan Huang and Carlos Guestrin
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Fourier Theoretic Probabilistic Inference over Permutations
Jonathan Huang, Carlos Guestrin and Leonidas J. Guibas
Journal of Machine Learning Research, 2009


Hilbert space embeddings of conditional distributions with applications to dynamical systems
Le Song, Jonathan Huang, Kenji Fukumizu and Alex J. Smola
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Riffled Independence for Ranked Data
Jonathan Huang and Carlos Guestrin
Advances in Neural Information Processing Systems 22, 2009


Exploiting Probabilistic Independence for Permutations
Jonathan Huang, Carlos Guestrin, Xiaoye Jiang and Leonidas J. Guibas
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Efficient Inference for Distributions on Permutations
Jonathan Huang, Carlos Guestrin and Leonidas Guibas
Advances in Neural Information Processing Systems 20, 2007