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Katrina Ligett Home Research Teaching Service My advisor is Avrim Blum. From 2004 to 2007 I was supported in part by an AT&T Labs Graduate Research Fellowship. My mentor at AT&T is David S. Johnson. I am currently supported in part by an NSF Graduate Research Fellowship. My research interests lie in the area of algorithms, particularly online algorithms and algorithmic game theory. My favorite problems are simple to explain, elegant, and universal (show up in many places in different forms). A Learning Theory Approach to Non-Interactive Database Privacy. With Avrim Blum and Aaron Roth. STOC 2008. Regret Minimization and the Price of Total Anarchy. With Avrim Blum, MohammadTaghi Hajiaghayi, and Aaron Roth. STOC 2008. The Price of Stochastic Anarchy. With Christine Chung, Kirk Pruhs, and Aaron Roth. SAGT 2008 (First International Symposium on Algorithmic Game Theory). Playing Games with Approximation Algorithms. With Sham Kakade and Adam Tauman Kalai. STOC 2007. Journal version in submission. Compressing Rectilinear Pictures and Minimizing Access Control Lists. With David A. Applegate, Gruia Calinescu, David S. Johnson, Howard Karloff, and Jia Wang. SODA 2007. Routing Without Regret: On Convergence to Nash Equilibria of Regret-Minimizing Algorithms in Routing Games. With Avrim Blum and Eyal Even-Dar. PODC 2006. Journal version in submission.
Home Research Teaching Service Katrina Ligett |