Children
Sign in to add trainee| Marta Arias | grad student | 2004 | Tufts |
| Gabriel Wachman | grad student | 2009 | Tufts |
| Saket Joshi | grad student | 2010 | Tufts |
| Yuyang Wang | grad student | 2013 | Tufts |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Bouchard B, Bouchard K, Brown N, et al. (2018) Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence Ai Magazine. 39: 45-56 |
| Sheth R, Wang Y, Khardon R. (2015) Sparse variational inference for generalized Gaussian process models 32nd International Conference On Machine Learning, Icml 2015. 2: 1302-1311 |
| Hescott BJ, Khardon R. (2014) The complexity of reasoning with FODD and GFODD Proceedings of the National Conference On Artificial Intelligence. 2: 1056-1062 |
| Garriga GC, Khardon R, De Raedt L. (2013) Mining closed patterns in relational, graph and network data Annals of Mathematics and Artificial Intelligence. 69: 315-342 |
| Joshi S, Khardon R, Tadepalli P, et al. (2013) Solving relational MDPs with exogenous events and additive rewards Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8188: 178-193 |
| Wang Y, Khardon R, Protopapas P. (2012) Nonparametric Bayesian estimation of periodic light curves Astrophysical Journal. 756 |
| Kim DW, Protopapas P, Trichas M, et al. (2012) A refined QSO selection method using diagnostics tests: 663 QSO candidates in the Large Magellanic Cloud Astrophysical Journal. 747 |
| Wang Y, Khardon R, Pechyony D, et al. (2012) Generalization bounds for online learning algorithms with pairwise loss functions Journal of Machine Learning Research. 23 |
| Joshi S, Khardon R. (2011) Probabilistic relational planning with first order decision diagrams Journal of Artificial Intelligence Research. 41: 231-266 |
| Kim DW, Protopapas P, Byun YI, et al. (2011) Quasi-stellar object selection algorithm using time variability and machine learning: Selection of 1620 quasi-stellar object candidates from MACHO Large Magellanic Cloud database Astrophysical Journal. 735 |