Research Statement
Recent Publications
Syntactic and Functional Variability of a Million Code Submissions in a Machine Learning MOOC,
Jonathan Huang, Chris Piech, Andy Nguyen, Leonidas Guibas.
In the 16th International Conference on Artificial Intelligence in Education (AIED 2013) Workshop on Massive Open Online Courses (MOOCshop)
Memphis, TN, USA, July 2013.
@inproceedings{hpng-sfvmcsmlm-13, author = {Jonathan Huang and Chris Piech and Andy Nguyen and Leonidas Guibas} title={Syntactic and Functional Variability of a Million Code Submissions in a Machine Learning MOOC}, booktitle = {Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013}, year = {2013}, location={Memphis, USA} }
Tuned Models of Peer Assessment in MOOCs,
Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong Do, Andrew Ng, Daphne Koller.
In Proceedings of The 6th International Conference on Educational Data Mining (EDM 2013),
Memphis, TN, USA, July 2013.
@inproceedings{phcdnk-tmpam-13, author = {Chris Piech and Jonathan Huang and Zhenghao Chen and Chuong Do and Andrew Ng and Daphne Koller}, title = {Tuned Models of Peer Assessment in {MOOC}s}, booktitle = {Proceedings of The 6th International Conference on Educational Data Mining (EDM 2013)}, year = {2013} }
J. Huang, A. Kapoor, C. Guestrin.
Riffled Independence for Efficient Inference with Partial Rankings.
Journal of Artificial Intelligence Research (JAIR).,
Vol. 44 (2012), pages 491-532
@article{ri-eipr-12, title = {Riffled Independence for Efficient Inference with Partial Ranking}, author = {Jonathan Huang and Ashish Kapoor and Carlos Guestrin}, journal = {Journal of Artificial Intelligence}, volume = {44}, pages = {491-532}, year = {2012}, }
J. Huang, C. Guestrin.
Uncovering the Riffled Independence Structure of Ranked Data.
Electronic Journal of Statistics, Vol. 6 (2012) 1999-230.
Communicated July 2010.
@article{hg-urisrd-12, title = {Uncovering the Riffled Independence Structure of Ranked Data}, author = {Jonathan Huang and Carlos Guestrin}, journal = {Electronic Journal of Statistics}, volume = {6}, pages = {199-230}, year = {2012}, }
J. Huang, C. Guestrin, L. Guibas.
Fourier Theoretic Probabilistic Inference over Permutations.
Journal of Machine Learning (JMLR), Volume 10
pp. 997-1070, May 2009
@article{hgg-ftpip-09, author = {Jonathan Huang and Carlos Guestrin and Leonidas Guibas}, title = {Fourier Theoretic Probabilistic Inference over Permutations}, journal = {Journal of Machine Learning Research (JMLR)}, year = {2009}, volume = {10}, pages = {997-1070}, month = {May}, } |
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