Bharath K. Sriperumbudur
homepage:http://kyb.mpg.de/~bharathsv
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Description

He is a Ph. D. student in the Department of Electrical & Computer Engineering at UCSD. He works with Prof. Gert Lanckriet in Computional Statistics & Machine Learning group.

His current research interest is primarily in mathematical statistics, especially in kernel methods, empirical process theory and statistical learning theory. He is also interested in optimization for machine learning.

Recently, he was a visitor at The Institute of Statistical Mathematics, Tokyo, working with Prof. Kenji Fukumizu.

Before joining UCSD, he was working as a researcher in Imaging Technologies Lab, GE Global Research at John F Welch Technology Centre, Bangalore, India. He did his masters in Electrical Engineering from Indian Institute of Technology, Kanpur, India.


Lectures:

lecture
flag On the relation between universality, characteristic kernels and RKHS embedding of measures
as author at  13th International Conference on Artificial Intelligence and Statistics (AISTATS), Sardinia 2010,
3539 views
  lecture
flag On the Convergence of the Convex-Concave Procedure
as author at  Optimization,
5200 views
lecture
flag Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
as author at  Conference Sessions,
3395 views
  lecture
flag Metric Embedding for Kernel Classification Rules
as author at  25th International Conference on Machine Learning (ICML), Helsinki 2008,
3635 views
lecture
flag Finding Musically Meaningful Words by Sparse CCA
as author at  NIPS Workshop on Music, Brain and Cognition, Whistler 2007 ,
3132 views