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Dale Schuurmans

Dale Schuurmans

Appointment

Canada CIFAR AI Chair

Pan-Canadian AI Strategy

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University of Alberta

Google Scholar

About

Dale Schuurmans is a Canada CIFAR AI Chair at Amii, a professor in the Department of Computing Science at the University of Alberta, and a Senior Staff Research Scientist at Google Brain in Edmonton, Canada.

Schuurmans’ long-term research goal is to develop systems that learn predictive models from massive data sources when the requisite models are complex. Some of his ongoing research include statistical natural language modelling, reinforcement learning, and learning search control. Schuurmans is currently focusing on developing algorithms that acquire competence through the integration of demonstration-based and experienced-based learning. He has also developed new methods for probabilistic inference, optimization, and constraint satisfaction.

Awards

  • NeurIPS Best Paper Award, 2018
  • Fellow, Association for the Advancement of Artificial Intelligence (AAAI), 2017
  • Canada Research Chair in Machine Learning, 2008-2018
  • IJCAI Distinguished Paper Award, 2005
  • AAAI Outstanding Paper Award, 2000

Relevant Publications

  • Mei, J., Xiao, C., Dai, B., Li, L., Szepesvári, C., & Schuurmans, D. (2020). Escaping the Gravitational Pull of Softmax. Advances in Neural Information Processing Systems, 33.

  • Yang, M., Nachum, O., Dai, B., Li, L., & Schuurmans, D. (2020). Off-policy evaluation via the regularized lagrangian. arXiv preprint arXiv:2007.03438.

  • Wen, J., Dai, B., Li, L., & Schuurmans, D. (2020). Batch Stationary Distribution Estimation. arXiv preprint arXiv:2003.00722.

  • Chen, M., Gummadi, R., Harris, C., & Schuurmans, D. (2019). Surrogate objectives for batch policy optimization in one-step decision making. In Advances in Neural Information Processing Systems (pp. 8827-8837).

  • Lu, T., Schuurmans, D., & Boutilier, C. (2018). Non-delusional Q-learning and value-iteration. Advances in neural information processing systems, 31, 9949-9959.

Institution

Amii

Google Brain

University of Alberta

Department

Computing Science

Education

  • PhD (Computer Science), University of Toronto
  • MSc (Computing Science), University of Alberta
  • BSc (Mathematics and Computing Science), University of Alberta

Country

Canada

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