Algorithms Reading Group
Moses Charikar
This is a weekly algorithms reading group.
Time: Tuesday, 3:30 pm Location: CS 402
Mailing list for announcements:
Schedule
- [Sep 26] Moses Charikar:
Low distortion embeddings for edit distance, Rafail Ostrovsky, Yuval Rabani, STOC 2005.
- [Oct 3] Yury Makarychev:
Nonembeddability theorems via Fourier analysis, Subhash Khot and Assaf Naor, FOCS 2005.
- [Oct 10] Jan Vondrak (in CS 401):
On maximizing welfare when utility functions are subadditive, by Uriel Feige, STOC 2006.
- [Oct 17] Jan Vondrak:
Approximation algorithms for allocation problems: Improving the factor of 1-1/e, by Uriel Feige and Jan Vondrak, FOCS 2006.
Suggestions for presentations
- Complexity of Equilibria
- Metric embeddings
- Low distortion embeddings for edit distance, Rafail Ostrovsky, Yuval Rabani, STOC 2005.
- Lower-Stretch Spanning Trees, M. Elkin, Y. Emek, D. Spielman, and S. Teng, STOC 2005.
- Nonembeddability theorems via Fourier analysis, Subhash Khot and Assaf Naor, FOCS 2005.
- Improved lower bounds for embeddings into L_1, Robert Krauthgamer and Yuval Rabani, SODA 2006.
- Hardness of learning problems
- Compressed Sensing
- Inclusion-Exclusion Algorithms for Counting
- Other interesting papers (deliberately excludes talks we will see at Princeton)
- The unique games conjecture, integrality gap for cut problems and embeddability of negative type metrics into L1, Subhash Khot and Nisheeth Vishnoi, FOCS 2005.
- Integrality Gaps for Sparsest Cut and Minimum Linear Arrangement Problems, Nikhil Devanur, Subhash Khot, Rishi Saket, Nisheeth K. Vishnoi, STOC 2006.
- On maximizing welfare when utility functions are subadditive, Uriel Feige, STOC 2006.
- Beyond Hirsch Conjecture: walks on random polytopes and smoothed complexity of the simplex method, Roman Vershynin, FOCS 2006.
- Approximation Algorithms for Non-Uniform Buy-at-Bulk Network Design Problems, Chandra Chekuri, MohammadTaghi Hajiaghayi, Guy Kortsarz, Mohammad R. Salavatipour, FOCS 2006.
- Worst-case and Smoothed Analyses of the ICP Algorithm, With an Application to the k-means Method, David Arthur, Sergei Vassilvitskii, FOCS 2006.
- Local Graph Partitioning using PageRank Vectors, Reid Andersen, Fan Chung and Kevin Lang, FOCS 2006.
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