Web page of Kaushik Sinha

Kaushik Sinha

Office: EBU3B 3224
Phone: 858-534-8637
Dept. of Computer Science & Engineering
University of California, San Diego
Email:

I received my PhD from Ohio State University in Fall 2010. My advisor was Prof. Mikhail Belkin. Currently I am a
Postdoc at University of California, San Diego.

Research Interest:
I am broadly interested in all aspects of machine learning. CV

Recent Papers:

Polynomial Learning of Distribution Families [pdf] [Full Version]
Mikhail Belkin and Kaushik Sinha
FOCS 2010
Toward Learning Gaussian Mixtures with Arbitrary Separation [pdf] [Full Version]
Mikhail Belkin and Kaushik Sinha
COLT 2010
Semi-supervised Learning Using Sparse Eigenfunction Bases [pdf]
Kaushik Sinha and Mikhail Belkin
NIPS 2009
The Value of Labeled and Unlabeled Examples when The Model is Imperfect [pdf]
Kaushik Sinha and Mikhail Belkin
NIPS 2007

Recent Talks:

Polynomial Learning of Distribution Families
at Tata Institute of Fundamental Research, Mumbai, India, December, 2010
Polynomial Learning of Distribution Families
at Microsoft Research, Cambridge, UK, November, 2010
Polynomial Learning of Distribution Families
at 51st Annual Symposium on Foundations of Computer Science, Las Vegas, USA, October, 2010
New Directions in Semi-supervised Leraning and Gaussian Mixture Learning
at IBM Almaden Reserch Center, San Jose, USA, August, 2010
New Directions in Semi-supervised Leraning and Gaussian Mixture Learning
at Department of Computer Science, Georgia Institute of Technology, Atlanta, USA, April, 2010

Recent Professional Activities:

Program Committee Member

ICML 2010 (International Conference on Machine Learning)

Conference Reviewer

NIPS 2011 (Annual Conference on Neural Information Processing Systems)

NIPS 2010 (Annual Conference on Neural Information Processing Systems)

Journal Reviewer

Journal of Machine Learning Research

IEEE Transactions on Pattern Analysis and Machine Intelligence

IEEE Transactions on Neural Networks

ACM Transactions on Knowledge Discovery from Data

Neurocomputing

Web Master

MLSS09 (Machine Learning Summer School on Theory and Practice of Computational Learning)