Daniel R. Schmidt

2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Daniel R. Schmidt trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Teofilo F. Gonzalez (in Algorithms & Complexity)

Papers from Daniel R. Schmidt's perspective

Ordered by how strongly the researchers Daniel R. Schmidt trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Clustering to Minimize the Maximum Intercluster Distance
  2. A multidisciplinary survey on discrimination analysis
  3. Equality of Opportunity in Supervised Learning
  4. Fair Clustering Through Fairlets
  5. Privacy preserving clustering with constraints
  6. Handling Conditional Discrimination
  7. Achieving anonymity via clustering (ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems)
  8. A 1.488 approximation algorithm for the uncapacitated facility location problem (Information and Computation)
  9. A new greedy approach for facility location problems
  10. Algorithms for facility location problems with outliers (ACM-SIAM Symposium on Discrete Algorithms)

Their papers