STatistics and Applications (STA) Group
Telecom-ParisTech, Paris, France.
I am a post-doctoral researcher in STatistics and Applications (STA) Group, Telecom-ParisTech, Paris, mentored by Professor Stéphan Clémençon and Professor Florence d’Alché-Buc.
Previously, I was a post doctoral researcher at SIERRA Project Team, INRIA-ENS mentored by Professor Francis Bach.
My primary research theme is to develop efficient optimization methods and algorithms for various machine learning, data mining problems. This involves investigation of both the theoretical and practical aspects of optimization methodologies. The interplay between statistical, learning theoretic, algorithmic and probabilistic aspects of machine learning models also fascinate me. I am also interested in looking into applications of machine learning and data mining in relatively unexplored fields.
Recent Technical Report
Stochastic Variance Reduction Methods for Saddle-Point Problems.
P. Balamurugan, Francis Bach.
In Advances in Neural Information Processing Systems (NIPS), 2016. [code]
Gaussian Process Pseudo-Likelihood Models for Sequence Labeling.
P. K. Srijith, P. Balamurugan, Shirish Shevade.
In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), 2016.
ADMM for Training Sparse Structural SVMs with augmented L1 regularizers.
P. Balamurugan, Anusha Posinasetty, Shirish Shevade.
In SIAM International Conference on Data Mining (SDM), 2016. [pdf] [supplement pdf] [code]
Technical Reports and Preprints
I was a PhD student at Intelligent Systems Lab, headed by Dr. Shirish K. Shevade, in the department of Computer Science and Automation, Indian Institute of Science, Bangalore, India.
My PhD thesis focused on developing fast optimization methods for structured prediction and sparse classification problems.
Thesis Review Committee: Professor Inderjit S. Dhillon, University of Texas, Austin, USA and Professor Ashish Ghosh, Indian Statistical Institute, Kolkata, India.
I completed my Masters in Engineering at Computer Science and Automation, Indian Institute of Science, Bangalore, India.
I had my Bachelors degree in Information Technology from Thiagarajar College of Engineering, Madurai, India.
Research Intern at IBM India Research Lab, Bangalore, during May-August, 2013. Mentor: Dr. Vikas C. Raykar.
Project Assistant under Dr. Shirish Shevade during August 2009 - December 2009. Worked on "Efficient Algorithms for Structured Prediction".
Assistant Systems Engineer at Tata Consultancy Services during 2004 - 2007.
Recipient of the Alumni Medal from Computer Science and Automation Department, Indian Institute of Science, for the Best PhD Thesis in 2015.
A co-recipient of IBM Best PhD Thesis Award among theses from Computer Science and Automation Department, Indian Institute of Science, for the year 2015.
IBM PhD Fellowship awards for the years 2012 and 2013.
Travel awards from IBM, Infosys India, Indian Institute of Science (Sarukkai Jagannathan award) and IEEE ICDM.
A reviewer for NIPS 2016, Neuro Computing Journal, Neural Networks Journal, Science China Mathematics Journal, and Sadhana Academy Proceedings in Engineering Sciences.