Mark Crowley is an Assistant Professor in the Pattern Recognition and Machine Intelligence group in the Department of Electrical and Computer Engineering at the University of Waterloo. He received his Ph.D. and M.Sc. in Computer Science from the University of British Columbia working in the Laboratory for Computational Intelligence, and a B.A. in Computer Science from York University in Toronto. He did a postdoc at Oregon State University working with Tom Dietterich’s machine learning group. Mark’s research focusses on algorithms, tools and theory at the intersection of Machine Learning, Optimization and Probabilistic Modelling. In particular he is interested in the challenges for traditional machine learning and optimization algorithms that arise in domains with spatial dynamics and very large amounts of data. He often works in collaboration with researchers in other fields such as sustainable forest management, ecology and resource economics. He is an active part of building the interdisciplinary Computational Sustainability research community and blogs on this topic as well as democratic reform and the impact of AI technology on society.
- Incredible single voice generation - Arkiv: [1704.03809] A Neural Parametric Singing Synthesizer buff.ly/2peC6Wo 1 week ago
- Pedro Domingos on the five communities within machine learning. buff.ly/2nIOlKy https://t.co/DinYEouQhr 1 week ago
- A good rule of thumb for anyone in Machine Learning - always read Andrej - "A Peek at Trends in Machine Learning" buff.ly/2oboGY1 2 weeks ago