Matthew W. Hoffman

10 papers and 341 indexed citations i.

Matthew W. Hoffman has authored 10 papers that have received a total of 341 indexed citations. This includes 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Management Science and Operations Research. The topics of these papers are Machine Learning and Algorithms (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Bandit Algorithms Research (2 papers). Matthew W. Hoffman is often cited by papers focused on Machine Learning and Algorithms (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Bandit Algorithms Research (2 papers) and collaborates with scholars based in United States, United Kingdom and Canada. Matthew W. Hoffman's co-authors include Misha Denil, Nando de Freitas, Timothy Lillicrap, Sergio Gómez Colmenarejo and José Miguel Hernández-Lobato and has published in prestigious journals such as Neural Networks, Journal of Machine Learning Research and Cancer Genetics and Cytogenetics