Palo Alto Research Center,
800 Phillips Rd, Bldg 128
Webster, NY, 14580
Email: arvind.agarwal [AT] xerox [dot] com
I am currently a postdoctoral researcher at Palo Alto Research Center (formerly know as Xerox Research Center) Webster, NY. I graduated with a PhD from Department of Computer Science, University of Maryland, College Park. During my PhD, I was advised by Prof. Hal Daume III. I completed my M.S. in Computer Science from School of Computing, University of Utah. I did my undergraduate (Bachelors of Engineering) from Birla Institute of Technology & Science (BITS), Pilani, India.
My research interests are in Machine Learning in particular, in problems related to social computing, recommendation systems, data mining/visualization with an emphasis on large scale algorithms, and matrix and graph algorithms. I am also interested in the problems/techniques that have a geometric flavor in it e.g., kernel methods, distance/metric based methods, graph-based methods etc. My interests also extend to the fields of computational geometry and information geometry.I spent summers of 2007 and 2011, interning at IBM, T. J. Watson Research Center, NY. During my internships, I had a chance to work on Watson - IBM's famous question-answering system.
Publications: C = Conference, J = Journal, W = Workshop, P = In Preparation.
Adaptive Sampling for Large Scale MDS [pdf] C PArvind Agarwal and Chad Brubaker and Hal Daume III and Jeff M. Phillips and Suresh Venkatasubramanian; Under review.
Issue Status and Dialogue Act Prediction for Asynchronous Online Social Media User Engagement [pdf] W
Arvind Agarwal and Saurabh Kataria; 2nd Workshop on User Engagement Optimization (UEO), KDD 2014.
Efficient Methods for Predictive Action Strategy Optimization for Risk Driven Multi-channel Communication [pdf] C
Arvind Agarwal and Nathan Gnanasambandam; The 11th IEEE International Conference on Services Computing (SCC 2014), Anchorage, Alaska, USA
Large Scale Robust Sensor Network Localization [pdf] WArvind Agarwal and Hal Daume III and Jeff M. Phillips and Suresh Venkatasubramanian; 2nd IEEE ICDM International Workshop on Data Mining in Networks (DaMNet). December 2012.
Multitask Learning using Transformation Functions[pdf] WArvind Agarwal and Hal Daume III; The Learning Workshop 2010, Snowbird, Utah.
Incremental Multi-Dimensional Scaling[pdf] WArvind Agarwal and Jeff M. Phillips and Hal Daume III and Suresh Venkatasubramanian; The Learning Workshop 2010, Snowbird, Utah.
Researcher, Palo Alto Research Center, Webster, NY
Summer Internship: IBM T J Watson, NY, Summer 2011 (Worked on QA system Watson!)
Graduate Research Assistant: Department of Computer Science, University of Maryland, MD; Fall-10, Spring-11, Fall-12 - Present
Graduate Research Assistant: School of computing, University of Utah, Salt Lake City UT, Summer-06, Spring-07, Fall-07-Summer-10
Summer Internship : IBM T J Watson NY, Summer 2007 (Worked on QA system Watson!)
The 3rd IEEE International Conference on Big Data Science and Engineering (BDSE 2014)
2014 IEEE International Conference on Big Data(IEEE BigData 2014)
IEEE Transactions onPattern Analysis and Machine Intelligence
IEEE Transactions on Neural Networks and Learning Systems
Applied Intelligence, The International Journal of Arti cial Intelligence, Neural Networks, and Complex Problem-Solving Technologies
The 31st International Conference on Machine Learning (ICML 2014)
2014 IEEE International Congress on Big Data (BigData 2014)
The 25th International Conference on Computational Linguistics (COLING 2014)
The 30th International Conference on Machine Learning (ICML 2013)
The 29th Conference on Uncertainty in Arti cial Intelligence (UAI 2013)
2013 IEEE International Conference on Big Data(IEEE BigData 2013)
The 25th Neural Information Processing Systems (NIPS 2011)
The 29th International Conference on Machine Learning (ICML 2012)
Special Issue of International
Journal of Software and Informatics (IJSI)
The 27th International Conference on Machine Learning (ICML 2010)
The 24th Neural Information Processing Systems (NIPS 2010)
The 23th Neural Information Processing Systems (NIPS 2009)
The 26th International Conference on Machine Learning (ICML 2009)
The 21st International Joint Conference on Arti cial Intelligence (2009)
The 25th Conference on Uncertainty in Arti cial Intelligence (UAI 2009)
The 13th International Conference on Arti cial Intelligence and Statistics (AISTATS 2009)
The 25th International Conference on Machine Learning (ICML 2008)