Yaoliang Yu

Machine Learning, including generative modelling, representation learning, robustness, and kernel methods, as well as application to computer vision and natural language processing Optimization Algorithms, including convex and non convex optimization, distributed and federated learning, iteration complexity bounds, robust and stochastic optimization

Yaoliang Yu is Associate Professor at the University of Waterloo, affiliated with Computer Science, Data Science. This summary considered 3 collected sources. Listed research or teaching areas include Machine Learning, including generative modelling, representation learning, robustness, and kernel methods, as well as application to computer vision and natural language processing Optimization Algorithms, including convex and non convex optimization, distributed and federated learning, iteration complexity bounds, robust and stochastic optimization.