Christopher Liaw

13 papers and 128 indexed citations i.

Christopher Liaw has authored 13 papers that have received a total of 128 indexed citations. This includes 10 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 3 papers in Computer Networks and Communications. The topics of these papers are Machine Learning and Algorithms (7 papers), Stochastic Gradient Optimization Techniques (4 papers) and Advanced Bandit Algorithms Research (3 papers). Christopher Liaw is often cited by papers focused on Machine Learning and Algorithms (7 papers), Stochastic Gradient Optimization Techniques (4 papers) and Advanced Bandit Algorithms Research (3 papers) and collaborates with scholars based in Canada, United States and Japan. Christopher Liaw's co-authors include Yaniv Plan, Nicholas J. A. Harvey, Abbas Mehrabian, Aranyak Mehta and Shai Ben-David and has published in prestigious journals such as Journal of the ACM, Journal of Machine Learning Research and Discrete Mathematics.