github twitter instagram email

Yang, S.C-H., Vong, W.K., Yu, Y. & Shafto, P. (preprint). A unifying computational framework for teaching and active learning.

Vong, W. K., Hendrickson, A. T., Navarro, D. J. & Perfors, A. F. (preprint). Do additional features help or harm during category learning? The curse of dimensionality in human learners.

Vong, W. K.*, Sojitra, R.*, Reyes, A., Yang, S. C-H & Shafto, P. (2018). Bayesian teaching of image categories. Proceedings of the 40th Annual Conference of the Cognitive Science Society. (* indicates co-first author)

Yang, S.C-H., Yu, Y., Givchi, A., Wang, P., Vong, W.K., & Shafto, P. (2018) Optimal Cooperative Inference. Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS).

Vong, W. K., Hendrickson, A. T., Perfors, A. F. & Navarro, D. J. (2016). Do additional features help or harm during category learning? An exploration of the curse of dimensionality in human learners. Proceedings of the 38th Annual Conference of the Cognitive Science Society. Marr Prize for Best Student Paper.

Vong, W.K, Perfors, A. & Navarro, D. J. (2016). The helpfulness of labels in semi-supervised learning depends on category structure. Psychonomic Bulletin & Review. 23(1), 230-238.

Vong, W.K, Perfors, A. & Navarro, D. J. (2014). The relevance of labels in semi-supervised learning depends on category structure. Proceedings of the 36th Annual Conference of the Cognitive Science Society.

Navarro, D. J., Perfors, A. & Vong, W. K. (2013). Learning time-varying categories. Memory & Cognition, 41(6), 917-927.

Vong, W. K., Hendrickson, A. T., Perfors, A. & Navarro, D. J. (2013). The role of sampling assumptions in generalization with multiple categories. Proceedings of the 35th Annual Conference of the Cognitive Science Society.