portrait      

Sergei Vassilvitskii

 
sergei at cs.stanford.edu
sergei at yahoo-inc.com

News: I have joined Yahoo! Research in New York. Come visit us!

Papers

  1. Steven Whang, Chad Brower, Jayavel Shanmugasundaram, Sergei Vassilvitskii, Erik Vee, Ramana Yerneni, Hector Garcia-Molina. Indexing Boolean Expressions
  2. Flavio Chierichetti, Ravi Kumar, Sergei Vassilvitskii. Similarity Caching
  3. Sandeep Pandey, Andrei Broder, Flavio Chierichetti, Vanja Josifovski, Ravi Kumar, Sergei Vassilvitskii. Nearest-Neighbor Caching for Content-Match Applications
  4. Arpita Ghosh, Benjamin Rubinstein, Sergei Vassilvitskii, Martin Zinkevich. Adaptive Bidding for Display Advertising.
  5. Ravi Kumar, Kunal Punera, Torsten Suel, Sergei Vassilvitskii. Top-k Aggregation Using Intersections of Ranked Inputs
  6. Rica Gonen, Sergei Vassilvitskii. Sponsored Search Auctions With Reserve Prices: Going Beyond Separability.
  7. Marcus Fontoura, Vanja Josifovski Ravi Kumar, Christopher Olston, Andrew Tomkins, Sergei Vassilvitskii. Relaxation in Text Search Using Taxonomies.
  8. Ning Chen, Arpita Ghosh, Sergei Vassilvitskii. Optimal Envy-Free Pricing with Metric Substitutability.
  9. Andrei Broder, Adam Kirsch, Ravi Kumar, Michael Mitzenmacher, Eli Upfal, Sergei Vassilvitskii. The Hiring Problem and Lake Wobegon Strategies.
  10. Esteban Arcaute, Adam Kirsch, Ravi Kumar, David Liben-Nowell, Sergei Vassilvitskii. On Threshold Behavior in Query Incentive Networks.
  11. David Arthur, Sergei Vassilvitskii. k-means++: The Advantages of Careful Seeding
  12. David Arthur, Sergei Vassilvitskii. Worst-case and Smoothed Analyses of the ICP Algorithm, With an Application to the k-means Method.
  13. Sergei Vassilvitskii, Eric Brill. Using Web Graph Distance For Relevance Feedback in Web Search.
  14. David Athur, Sergei Vassilvitskii. How slow is the k-means method? (Previously titled On the Worst Case Complexity of the k-means Method.)
  15. Rajeev Motwani Sergei Vassilvitskii Tracing the Path: new Model and Algorithms for Recommendation Systems.
  16. Nina Mishra, Rajeev Motwani, Sergei Vassilvitskii. Sublinear Projective Clustering With Outliers.
  17. Rajeev Motwani, Sergei Vassilvitskii. Distinct Value Estimators in Power Law Distributions.
  18. Sergei Vassilvitskii, Mihalis Yannakakis. Efficiently Computing Succinct Trade-off Curves.
  19. Sergei Vassilvitskii, Mark Yim, John W. Suh. A Complete, Local and Parallel Reconfiguration Algorithm for Cube Style Modular Robots.
  20. Sergei Vassilvitskii, Jeremy Kubica, Eleanor G. Rieffel, John W. Suh, Mark Yim. On the General Reconfiguration Problem for Expanding Cube Style Modular Robots.