All Stories

  1. A GPU-Accelerated Population Generation, Sorting, and Mutation Kernel for an Optimization-Based Causal Inference Model
  2. Understanding Significance Tests from a Non-Mixing Markov Chain for Partisan Gerrymandering Claims
  3. A scalable computational approach to political redistricting optimization
  4. Balance Optimization Subset Selection (BOSS): An Alternative Approach for Causal Inference with Observational Data
  5. Geo-Graphs: An Efficient Model for Enforcing Contiguity and Hole Constraints in Planar Graph Partitioning