Kosuke Imai

According to our database1, Kosuke Imai authored at least 25 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Does AI help humans make better decisions? A methodological framework for experimental evaluation.
CoRR, 2024

The Cram Method for Efficient Simultaneous Learning and Evaluation.
CoRR, 2024

2023
Individualized Policy Evaluation and Learning under Clustered Network Interference.
CoRR, 2023

Bayesian Safe Policy Learning with Chance Constrained Optimization: Application to Military Security Assessment during the Vietnam War.
CoRR, 2023

Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods.
CoRR, 2023

Making Differential Privacy Work for Census Data Users.
CoRR, 2023

A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate.
CoRR, 2023

Estimating Racial Disparities When Race is Not Observed.
CoRR, 2023

2022
Comment: The Essential Role of Policy Evaluation for the 2020 Census Disclosure Avoidance System.
CoRR, 2022

Distributionally Robust Causal Inference with Observational Data.
CoRR, 2022

Race and ethnicity data for first, middle, and last names.
CoRR, 2022

Simulated redistricting plans for the analysis and evaluation of redistricting in the United States: 50stateSimulations.
CoRR, 2022

Policy learning with asymmetric utilities.
CoRR, 2022

Addressing Census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements.
CoRR, 2022

Causal Diagram and Social Science Research.
Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

2021
Measuring and Modeling Neighborhoods.
CoRR, 2021

Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment.
CoRR, 2021

The Impact of the U.S. Census Disclosure Avoidance System on Redistricting and Voting Rights Analysis.
CoRR, 2021

Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts.
CoRR, 2021

2020
Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment.
CoRR, 2020

Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans.
CoRR, 2020

The Essential Role of Empirical Validation in Legislative Redistricting Simulation.
CoRR, 2020

Principal Fairness for Human and Algorithmic Decision-Making.
CoRR, 2020

Keyword Assisted Topic Models.
CoRR, 2020

2016
Large-scale text processing pipeline with Apache Spark.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016


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