Publications in Venue "UAI"
| 1. | C. Sherstan, B. Bennett, K. Young, D. Ashley, A. White, M. White, R. Sutton. "Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return". Conference on Uncertainty in Artificial Intelligence (UAI), (ed: Amir Globerson and Ricardo Silva), pp 63-72, August 2018.   |
| 2. | T. Sajed, W. Chung, M. White. "High-confidence error estimates for learned value functions". Conference on Uncertainty in Artificial Intelligence (UAI), (ed: Amir Globerson, Ricardo Silva), pp 683-692, August 2018. |
| 3. | Y. Pan, E. Azer, M. White. "Effective sketching methods for value function approximation". Conference on Uncertainty in Artificial Intelligence (UAI), (ed: Gal Elidan, Kristian Kersting, Alexander T. Ihler), pp n/a, August 2017. |
| 4. | H. Cheng, X. Zhang, D. Schuurmans. "Convex Relaxations of Bregman Divergence Clustering". Conference on Uncertainty in Artificial Intelligence (UAI), pp 162-171, August 2013. |
| 5. | P. Hooper, Y. Abbasi-Yadkori, R. Greiner, B. Hoehn. "Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling". Conference on Uncertainty in Artificial Intelligence (UAI), June 2009. |
| 6. | A. Isaza, C. Szepesvari, R. Greiner, V. Bulitko. "Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstractions". Conference on Uncertainty in Artificial Intelligence (UAI), pp 306--314, July 2008. |
| 7. | G. Neu, C. Szepesvari. " Apprenticeship Learning using Inverse Reinforcement Learning and Gradient Methods". Conference on Uncertainty in Artificial Intelligence (UAI), pp 295-302, July 2007. |
| 8. | M. Littman, N. Ravi, A. Talwar, M. Zinkevich. "An Efficient Optimal-Equilibrium Algorithm for Two-Player Game Trees". Conference on Uncertainty in Artificial Intelligence (UAI), August 2006. |
| 9. | Y. Guo, D. Schuurmans. "Convex structure learning for Bayesian networks: polynomial feature selection and approximate ordering". Conference on Uncertainty in Artificial Intelligence (UAI), January 2006. |
| 10. | F. Southey, M. Bowling, B. Larson, C. Piccione, N. Burch, D. Billings, C. Rayner. "Bayes' bluff: Opponent modelling in poker". Conference on Uncertainty in Artificial Intelligence (UAI), Edinburgh, Scotland, pp 550-558, January 2005. |
| 11. | Y. Guo, D. Wilkinson, D. Schuurmans. "Maximum Margin Bayesian Networks". Conference on Uncertainty in Artificial Intelligence (UAI), Edinburgh, Scotland, January 2005. |
| 12. | O. Madani, D. Lizotte, R. Greiner. "Active Model Selection". Conference on Uncertainty in Artificial Intelligence (UAI), Banff, Alberta, pp 357-365, July 2004. |
| 13. | S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Boltzmann Machine Learning With the Latent Maximum Entropy Principle". Conference on Uncertainty in Artificial Intelligence (UAI), Acapulco, Mexico, August 2003.  |
| 14. | D. Lizotte, O. Madani, R. Greiner. "Budgeted Learning of Naive-Bayes Classifiers". Conference on Uncertainty in Artificial Intelligence (UAI), Acapulco, Mexico, August 2003. |
| 15. | F. Lu, D. Schuurmans. "Monte Carlo matrix inversion policy evaluation". Conference on Uncertainty in Artificial Intelligence (UAI), Acapulco, Mexico, January 2003. |
| 16. | T. Van Allen, R. Greiner, P. Hooper. "Bayesian Error-Bars for Belief Net Inference". Conference on Uncertainty in Artificial Intelligence (UAI), Seattle, Washington, USA, August 2001. |
| 17. | D. Schuurmans, A. Bistritz, F. Southey. "Monte Carlo Inference Via Greedy Importance Sampling". Conference on Uncertainty in Artificial Intelligence (UAI), July 2000. |
| 18. | J. Cheng, R. Greiner. "Comparing Bayesian Network Classifiers". Conference on Uncertainty in Artificial Intelligence (UAI), pp 101-107, August 1999. |
| 19. | R. Greiner, A. Grove, D. Schuurmans. "Learning Bayesian Nets that Perform Well". Conference on Uncertainty in Artificial Intelligence (UAI), Providence, Rhode Island, August 1997. |
