http://www.cs.utah.edu/~suresh
suresh at cs utah edu
Ph: 801 581 8233
Room 3404, School of Computing
50 S. Central Campus Drive,
Salt Lake City, UT 84112.
Efficient Protocols for Distributed Classification and Optimization

Hal Daume III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
arXiv:1204.3523v1 [cs.LG]

Protocols for Learning Classifiers on Distributed Data

Hal Daumé, Jeff M. Phillips, Avishek Saha and Suresh Venkatasubramanian
In the 15th International Conference on Artificial Intelligence and Statistics (AISTATS), 2012.

Adaptive Sampling for Large-Data MDS

Arvind Agarwal, Chad Brubaker, Hal Daumé III, Jeff M. Phillips and Suresh Venkatasubramanian
Submitted.

Computing Hulls, Centerpoints and VC dimension in Positive Definite Space

P. Thomas Fletcher, John Moeller, Jeff Phillips and Suresh Venkatasubramanian
In Algorithms And Data Structures Symposium (formerly WADS), 2011.

Approximate Bregman near neighbors in sublinear time: Beyond the triangle inequality

Amirali Abdullah, John Moeller and Suresh Venkatasubramanian
Proc. Symposium on Computational Geometry, 2012
http://arxiv.org/abs/1108.0835

Generating a Diverse Set of High-Quality Clusterings

Jeff Phillips, Parasaran Raman and Suresh Venkatasubramanian
arXiv:1108.0017
In the 2nd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings (held in conjunction with ECML/PKDD 2011)
Best Paper Award.

Active Supervised Domain Adaptation

Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian, and Scott L. DuVall
In the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2011)

Comparing and Matching Shapes Using the Kernel Distance

Sarang Joshi, Raj Varma Kommaraju, Jeff Phillips, and Suresh Venkatasubramanian
arXiv:1001.0591v1 [cs.CG]
27th ACM Symposium on Computational Geometry, 2011.

Evaluating Graph Colorings on the GPU (poster)

A. V. Pascal Grosset, Peihong Zhu, Shusen Liu, Suresh Venkatasubramanian, and Mary Hall
16th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming.

Johnson-Lindenstrauss Dimensionality Reduction on the Simplex

Rasmus J. Kyng, Jeff M. Phillips and Suresh Venkatasubramanian
In the 20th Fall Workshop on Computational Geometry, 2010.

The Johnson-Lindenstrauss Transform: An Empirical Study

Suresh Venkatasubramanian and Qiushi Wang
ALENEX11: Workshop on Algorithms Engineering and Experimentation (in conjunction with SODA 2011)

Spatially-Aware Comparison and Consensus for Clusterings

Jeff M. Phillips, Parasaran Raman and Suresh Venkatasubramanian
Proc. 2011 SIAM Conference on Data Mining, Apr 2011.

A gentle introduction to the kernel distance

Jeff M. Phillips and Suresh Venkatasubramanian
arXiv:1103.1625v1

Online Learning of Tasks and Their Relationships

Hal Daume III, Piyush Rai, Avishek Saha and Suresh Venkatasubramanian
Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS), 2011.

New Developments in the theory of clustering (Tutorial)

Sergei Vassilvitskii and Suresh Venkatasubramanian
In 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2010

Practical Algorithms for the Current Distance

Raj Varma Kommaraju, Jeff M. Phillips, Parasaran Raman, Suresh Venkatasubramanian
Submitted, 2010.

Domain Adaptation Meets Active Learning

Piyush Rai, Avishek Saha, Hal Daume III, and Suresh Venkatasubramanian
Workshop on Active Learning For NLP (in conjunction with NAACL-HLT), 2010

Sketching Techniques for Large-Scale NLP

Amit Goyal, Jagadeesh Jagarlamudi, Hal Daume and Suresh Venkatasubramanian
6th Web as Corpus Workshop (in conjunction with NAACL-HLT 2010)

Universal Multi-Dimensional Scaling

Arvind Agarwal, Jeff Phillips and Suresh Venkatasubramanian
In 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2010

The Geometric Median on Riemannian Manifolds with Application to Robust Atlas Estimation

P. Thomas Fletcher, S. Joshi and S. Venkatasubramanian
Neuroimage, Vol. 45, No. 1 (suppl. 1), pp. S143–S152. November 13, 2008.

Information Theory For Data Management (Tutorial)

Divesh Srivastava and Suresh Venkatasubramanian
35th International Conference on Very Large Databases (VLDB)

Streamed Learning: One-Pass SVMs

Piyush Rai, Hal Daume III, and Suresh Venkatasubramanian
Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09)

Approximate Shape Matching And Symmetry Detection for 3D Shapes With Guaranteed Error Bounds

Shankar Krishnan and Suresh Venkatasubramanian
SMI 2009: IEEE International Conference on Shape Modeling and Applications

Streaming for large scale NLP: Language Modelling

Amit Goyal, Hal Daume and Suresh Venkatasubramanian
North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT) 2009 (to appear)

Type-Based Categorization of Relational Attributes

Babak Ahmadi, Marios Hadjieleftheriou, Thomas Seidl, Divesh Srivastava and Suresh Venkatasubramanian
12th International Conference on Extending Database Technology (EDBT 09) (to appear)

Metric Functional Dependencies

Nick Koudas, Avishek Saha, Divesh Srivastava and Suresh Venkatasubramanian
25th International Conference on Data Engineering, 2009 (to appear)

On measures of privacy

Suresh Venkatasubramanian
In Privacy-Preserving Data Mining: Models and Algorithms (Springer). Ed. Charu Aggarwal, Philip S. Yu

Clustering on streams

Suresh Venkatasubramanian
Springer Encyclopedia on Databases, to appear.

Robust Statistics on Riemannian Manifolds via the Geometric Median

Thomas Fletcher, Sarang Joshi and Suresh Venkatasubramanian.
Proc. CVPR, 2008.

Rectangular layouts and contact graphs

Adam L. Buchsbaum, Emden R. Gansner, Cecilia M. Procopiuc, and Suresh Venkatasubramanian.
ACM Trans. Algorithms 4, 1 (Mar. 2008), 1-28

Validating Multi-column Schema Matchings by Type

Bing Tian Dai, Nick Koudas, Divesh Srivastava, Anthony K. H. Tung, and Suresh Venkatasubramanian
24th International Conference on Data Engineering (ICDE), 2008

t-closeness: Privacy Beyond k-Anonymity and l-Diversity

Ninghui Li, Tiancheng Li, Suresh Venkatasubramanian.
2007 IEEE 23rd International Conference on Data Engineering

Curve Matching, Time Warping, and Light Fields

Alon Efrat, Quanfu Fan, Suresh Venkatasubramanian
Journal of Mathematical Imaging and Vision, vol. 27, no. 3, Apr 2007

Directed Graphs and Rectangular Layouts

Adam Buchsbaum, Emden Gansner, Suresh Venkatasubramanian
2007 Asia-Pacific Symposium on Visualisation

Restricted Strip Covering and the Sensor Cover Problem

Adam Buchsbaum, Alon Efrat, Shaili Jain, Suresh Venkatasubramanian, Kevin Yi
18th ACM-SIAM Symposium on Discrete Algorithms, 2007.

Rapid Identification of Column Heterogeneity

Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian
[cite]IEEE International Conference on Data Mining (ICDM), 2006[/cite].

Spatial Scan Statistics: Approximations and Performance Study

Deepak Agarwal, Andrew McGregor, Jeff Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu
[cite]The Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006[/cite]

Statistical Data Depth and the Graphics Hardware

Nabil Mustafa, Shankar Krishnan, Suresh Venkatasubramanian
[cite]Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications, pp. 223-234[/cite]