Publications

Journal Articles

• Shivani Agarwal, Thore Graepel, Ralf Herbrich, Sariel Har-Peled and Dan Roth.
  Generalization bounds for the area under the ROC curve.
  Journal of Machine Learning Research, 6:393-425, 2005.
  [pdf] [bibtex]
  
  
• Shivani Agarwal, Aatif Awan and Dan Roth.
  Learning to detect objects in images via a sparse, part-based representation.
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(11):1475-1490, 2004.
  [pdf] [bibtex]
  
  

Refereed Conference Papers

• Shivani Agarwal.
  Ranking on graph data.
  In Proceedings of the 23rd International Conference on Machine Learning, Pittsburgh, PA, 2006.
  [pdf] [bibtex] [errata]
  
  
• Shivani Agarwal and Partha Niyogi.
  Stability and generalization of bipartite ranking algorithms.
  In Proceedings of the 18th Annual Conference on Learning Theory, Bertinoro, Italy, 2005.
  [pdf] [bibtex]
  
  
• Shivani Agarwal and Dan Roth.
  Learnability of bipartite ranking functions.
  In Proceedings of the 18th Annual Conference on Learning Theory, Bertinoro, Italy, 2005.
  [pdf] [bibtex]
  
  
• Shivani Agarwal, Sariel Har-Peled and Dan Roth.
  A uniform convergence bound for the area under the ROC curve.
  In Proceedings of the 10th International Conference on Artificial Intelligence and Statistics, Barbados, 2005.
  [pdf] [bibtex]
  
  
• Shivani Agarwal, Thore Graepel, Ralf Herbrich and Dan Roth.
  A large deviation bound for the area under the ROC curve.
  In Proceedings of the 18th Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 2004.
  Published as Advances in Neural Information Processing Systems 17, pages 9-16, MIT Press, 2005.
  [pdf] [bibtex]
  
  
• Ashutosh Garg, Shivani Agarwal and Thomas S. Huang.
  Fusion of global and local information for object detection.
  In Proceedings of the 16th International Conference on Pattern Recognition, Quebec City, Canada, 2002.
  [pdf] [bibtex]
  
  
• Shivani Agarwal and Dan Roth.
  Learning a sparse representation for object detection.
  In Proceedings of the 7th European Conference on Computer Vision, Copenhagen, Denmark, 2002.
  Published as Lecture Notes in Computer Science, volume 2353, pages 113-130, Springer-Verlag, 2002.
  [pdf] [bibtex]
  
  

Refereed Workshop Papers

• Shyamsundar Rajaram and Shivani Agarwal.
  Generalization bounds for k-partite ranking.
  In Proceedings of NIPS-2005 Workshop on Learning to Rank, Whistler, Canada, 2005.
  [pdf] [bibtex]
  
  
• Pedro J. Moreno and Shivani Agarwal.
  An experimental study of EM-based algorithms for semi-supervised learning in audio classification.
  In Proceedings of the ICML-2003 Workshop on the Continuum from Labeled to Unlabeled Data, Washington, DC, 2003.
  [pdf] [bibtex]
  
  

Other Reports

• Shivani Agarwal and Christopher M. Bishop.
  An improved variational approximation for Bayesian PCA.
  Technical note, Microsoft Research Cambridge, 2003.
  [pdf]
  
  

Theses/Dissertations

• Shivani Agarwal.
  A study of the bipartite ranking problem in machine learning.
  PhD dissertation, University of Illinois at Urbana-Champaign, 2005.
  
  
• Shivani Agarwal.
  A learning approach to object detection in images using a sparse, part-based representation.
  MS thesis, University of Illinois at Urbana-Champaign, 2002.
  
  
• Shivani Agarwal.
  Native compilation for the CSL Lisp system.
  Computer Science Tripos dissertation, University of Cambridge Computer Laboratory, 2000.