Topics in Statistics: Statistical Learning Theory
Machine Learning
Training Deep Neural Networks
Preference Learning
Poster Spotlights
Attribute Efficient Linear Regression with Distribution-Dependent Sampling
Neural Networks
Theory and Applications of Kernel Space
PAC-Bayesian Bounds in the Non IID Case
Machine learning for cognitive science 3: Kernel methods and Bayesian methods