
Martha White
Fellow & Canada CIFAR AI Chair
Academic Affiliations
Areas of Expertise
Fellow & Canada CIFAR AI Chair
Academic Affiliations
Areas of Expertise
Martha White’s primary research goal is to develop techniques for adaptive autonomous agents learning on streams of data.
Martha White’s primary research goal is to develop techniques for adaptive autonomous agents learning on streams of data. Over the past years, she has focused on principled optimization approaches for representation learning, particularly looking at sparse representations and recurrent architectures for partially observable domains. Martha has also been working on off-policy reinforcement learning, which enables learning about many different policies in parallel from a single stream of interaction with the environment. Overall, she seeks to make advances in representation learning for reinforcement learning, which she believes is one of the biggest scientific hurdles for AI and autonomous agents.
Martha is a Fellow and Canada CIFAR AI Chair at Amii and an Associate Professor in the Department of Computing Science at the University of Alberta. She has delivered invited talks at the International Conference on Learning Representations (ICLR), the International Conference on Machine Learning (ICML), and Advances in Neural Information Processing Systems (NeurIPS). She has also acted as area chair at these conferences as well as at the AAAI Conference on Artificial Intelligence. She also devotes some of her time to mentoring and promoting diversity in computing science. Since obtaining her Ph.D. in Computing Science from the University of Alberta in 2014, Martha has supervised more than 30 early-career researchers at the M.Sc. and Ph.D. levels as well as Research Associates and Post-Doctoral Fellows and has authored more than 40 papers in top journals and conferences.
Since obtaining her Ph.D. in Computing Science from the University of Alberta in 2014, Martha has supervised more than 30 early-career researchers.
Dec 21st 2022
News
AI that supports and collaborates with people will make us more effective – which renowned researcher Martha White argues is why RL is the future of AI in this AI Week 2022 keynote presentation.
Nov 23rd 2022
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Amii researchers present their work in the fields of reinforcement learning, natural language processing, data optimization and more at the 2022 Conference on Neural Information Processing Systems.
Jun 7th 2022
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AI Week brought together more than 2,100 AI enthusiasts and professionals to connect across nearly 60 unique events, including business-focused panels and discussions, academic sessions, networking socials and celebrations.
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