Experience
Education
Bio
RESEARCH INTERESTS
Fields: Machine learning, Data mining, Pattern recognition, Multi-task learning, Transfer learning,
Semi-supervised learning, Dimensionality reduction and subspace learning, Nonparametric Bayesian
statistics, Parallel data mining, Text mining, Missing value prediction
Models: Topic models, Latent variable models, Dirichlet process mixtures, Hierarchical Dirichlet
processes, Gaussian processes, Indian Buffet processes, SVM and large margin learning
Techniques: MCMC and Gibbs sampling, Variational Bayesian inference, Expectation-Maximization
(EM), Matrix factorization, Kernel methods