Samuel Ieong

PhD Candidate, Computer Science Department, Stanford University

 

Sam's picture

I am a graduate student in the Multiagent group of the Stanford AI Lab. My advisor is professor Yoav Shoham. I received my B.S. and M.S. degrees in Computer Science and Economics from Yale University in 2000.

Email: sieong AT cs DOT stanford DOT edu

[Contact Info | Curriculum Vitæ (pdf)]

Research Interests

Decision theory, Game theory, Economics, Financial engineering, Design and analysis of algorithms, Artificial intelligence, Machine learning.

Publications

  1. Bayesian Coalitional Games. Samuel Ieong, Yoav Shoham. AAAI-08:to appear. 2008.
  2. Mechanism Design for Stochastic Optimization Problems. Samuel Ieong, Anthony Man-Cho So, Mukund Sundararajan. WINE-07:269-280. 2007. [ps | pdf]
  3. Near-Optimal Search in Continuous Domains. Samuel Ieong, Nicolas Lambert, Yoav Shoham, Ronen Brafman. AAAI-07:1158-1163. 2007. [ps | pdf]
  4. Multi-Attribute Coalitional Games. Samuel Ieong, Yoav Shoham. ACM EC-06:170-179. 2006. [ps | pdf]
  5. Fast and Compact: A Simple Class of Congestion Games. Samuel Ieong, Bob McGrew, Eugene Nudelman, Yoav Shoham, Qixiang Sun. AAAI-05: 489-494. 2005. [ps | pdf]
  6. Marginal Contribution Nets: A Compact Representation Scheme for Coalitional Games. Samuel Ieong, Yoav Shoham. ACM EC-05: 193-292. 2005. [ps | pdf]
  7. Predicting RNA Secondary Structures with Arbitrary Pseudoknots by Maximizing the Number of Stacking Pairs. Samuel Ieong, Ming-Yang Kao, Tak-Wah Lam, Wing-kin Sung, Siu-Ming Yiu. J. Comp. Bio. 10(6): 981-995. 2003. [pdf]

 

www.stanford.edu/~sieong/index.html
Last updated Wednesday, April 16, 2008