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Lizotte, D., Gunter, L., Laber, E., & Murphy, S.A. Missing Data and Uncertainty in Batch Reinforcement Learning. Selected for a poster presentation at the NIPS-08 Workshop on Model Uncertainty and Risk in Reinforcement Learning.
Lizotte, D., Wang, T., Bowling, M., & Schuurmans, D. (2007). Automatic gait optimization with Gaussian process regression. Proceedings of the Twentieth International Joint Conference on Artificial Intelligence.
Wang, T., Lizotte, D., Bowling, M., & Schuurmans, D. (2007). Stable dual dynamic programming. Advances in Neural Information Processing Systems.
Wang, Q., Cherry, C., Lizotte, D., & Schuurmans, D. (2006). Improved large margin dependency parsing via local constraints and Laplacian regularization. Proceedings of the Tenth Conference on Computational Natural Language Learning 06:21-28.
Wang, T., Lizotte, D., Bowling, M., & Schuurmans, D. (2005). Bayesian sparse sampling for on-line reward optimization. Proceedings of the Twenty-Second International Conference on Machine Learning, 961-968.
Madani, O., Lizotte, D., & Greiner, R. (2004). Active model selection. Proceedings of the 20th conference on Uncertainty in Artificial Intelligence.
Lizotte, D., Madani, O., & Greiner, R. (2003). Budgeted learning of naïve-Bayes classifiers. 19th Conference on Uncertainty in Artificial Intelligence.
Lizotte, D. & Zhang, H. (2003). Trading confidence for communications. IEEE International Conference on Systems, Man and Cybernetics 1:935-940.
Lizotte, D., Garey, L., & Shaw, R. (2002). A parallel numerical algorithm for boundary-value FIDEs on a PC cluster. Proceedings of the International Parallel and Distributed Processing Symposium, 397-402.
Shaw, R., Garey, L., & Lizotte, D. (2000). A parallel numerical algorithm for Fredholm integro-differential two-point boundary value problems. The International Journal of Computer Mathematics, 77:305-318.
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