Selected Recent Presentations

• A Discriminative Framework for Clustering via Similarity Functions, STOC 2008.

• A Theory of Learning and Clustering via Similarity Functions, China Theory Week, September 2007.

• Item Pricing for Revenue Maximization in Combinatorial Auctions, Dagsthul Workshop on Computational Social Systems and the Internet, July 2007.

• Margin Based Active Learning, COLT 2007.

• Thesis Proposal, CMU, May 2007.

• Mechanism Design, Machine Learning and Pricing Problems
  • Second Bertinoro Workshop on Algorithmic Game Theory (AGATE 2006).
  • University of California at San Diego, October 2006.
  
  
• On Learning with Similarity Functions
  • Mathematical Foundations of Learning Theory Conference, May 2006.
  • ICML 2006.
  
  
• Approximation Algorithms and Online Mechanisms for Item Pricing, EC 2006.
  
  
• Mechanism Design via Machine Learning
  • FOCS 2005.
  • NIPS 2005 Workshop on Value of Information in Inference, Learning and Decision-Making.

• An Augmented PAC Model for Semi-Supervised Learning
  • Toyota Technological Institute at Chicago (TTI-C), August 2005.
  • COLT 2005.
  • IBM Research T.J. Watson, June 2005.
  • Microsoft Research Silicon Valley, May 2005.
  • NIPS 2004 Workshop on (Ab)Use of Bounds.
  • Mathematical Foundations of Learning Theory Conference, June 2004.


• Sponsored Search Auctions Design via Machine Learning, ACM-EC 2005 Workshop on Sponsored Search Auctions.
  
  
• Co-Training and Expansion: Towards Bridging Theory and Practice, NIPS 2004.
  
  
• On Kernels, Margins, and Low-dimensional Mappings
  • IBM Research T.J. Watson, July 2005.
  • CMU Theory Lunch, March 2004.