All Stories

  1. Report on the 33rd The ACM Web Conference (WWW 2024)
  2. Online Load and Graph Balancing for Random Order Inputs
  3. Privacy in Web Advertising: Analytics and Modeling
  4. Discrete Choice and Applications
  5. Non-clairvoyant Scheduling with Predictions
  6. Differentially Private Data Release over Multiple Tables
  7. Distributed, Private, Sparse Histograms in the Two-Server Model
  8. The Gibbs-Rand Model
  9. Non-Clairvoyant Scheduling with Predictions
  10. Sample-efficient proper PAC learning with approximate differential privacy
  11. Asymptotic Behavior of Sequence Models
  12. Clustering without Over-Representation
  13. Motif Counting Beyond Five Nodes
  14. A Discrete Choice Model for Subset Selection
  15. Partitioning Orders in Online Shopping Services
  16. Linear Additive Markov Processes
  17. On Sampling Nodes in a Network
  18. LSH-Preserving Functions and Their Applications
  19. Driven by Food
  20. Inverting a Steady-State
  21. On Learning Mixture Models for Permutations
  22. Rank quantization