Kosuke Imai

According to our database, Kosuke Imai authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments.

Kosuke Imai, Kentaro Nakamura

CoRR, 2024

Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules.

Michael Lingzhi Li, Kosuke Imai

CoRR, 2024

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

Eli Ben-Michael, D. James Greiner, Melody Huang, Kosuke Imai, Zhichao Jiang, Sooahn Shin

CoRR, 2024

The Cram Method for Efficient Simultaneous Learning and Evaluation.

Zeyang Jia, Kosuke Imai, Michael Lingzhi Li

CoRR, 2024

2023

Individualized Policy Evaluation and Learning under Clustered Network Interference.

Yi Zhang, Kosuke Imai

CoRR, 2023

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

Zeyang Jia, Eli Ben-Michael, Kosuke Imai

CoRR, 2023

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

Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan, Tyler Simko, Kosuke Imai

CoRR, 2023

Making Differential Privacy Work for Census Data Users.

Cory McCartan, Tyler Simko, Kosuke Imai

CoRR, 2023

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

Adeline Lo, Santiago Olivella, Kosuke Imai

CoRR, 2023

Estimating Racial Disparities When Race is Not Observed.

Cory McCartan, Jacob Goldin, Daniel E. Ho, Kosuke Imai

CoRR, 2023

2022

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

Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan, Evan T. R. Rosenman, Tyler Simko, Kosuke Imai

CoRR, 2022

Distributionally Robust Causal Inference with Observational Data.

Dimitris Bertsimas, Kosuke Imai, Michael Lingzhi Li

CoRR, 2022

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

Evan T. R. Rosenman, Santiago Olivella, Kosuke Imai

CoRR, 2022

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

Cory McCartan, Christopher T. Kenny, Tyler Simko, George Garcia III, Kevin Wang, Melissa Wu, Shiro Kuriwaki, Kosuke Imai

CoRR, 2022

Policy learning with asymmetric utilities.

Eli Ben-Michael, Kosuke Imai, Zhichao Jiang

CoRR, 2022

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

Kosuke Imai, Santiago Olivella, Evan T. R. Rosenman

CoRR, 2022

Causal Diagram and Social Science Research.

Kosuke Imai

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

2021

Measuring and Modeling Neighborhoods.

Cory McCartan, Jacob R. Brown, Kosuke Imai

CoRR, 2021

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

Eli Ben-Michael, D. James Greiner, Kosuke Imai, Zhichao Jiang

CoRR, 2021

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

Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan, Evan Rosenman, Tyler Simko, Kosuke Imai

CoRR, 2021

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

Santiago Olivella, Tyler Pratt, Kosuke Imai

CoRR, 2021

2020

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

Kosuke Imai, Zhichao Jiang, James Greiner, Ryan Halen, Sooahn Shin

CoRR, 2020

Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans.

Cory McCartan, Kosuke Imai

CoRR, 2020

The Essential Role of Empirical Validation in Legislative Redistricting Simulation.

Benjamin Fifield, Kosuke Imai, Jun Kawahara, Christopher T. Kenny

CoRR, 2020

Principal Fairness for Human and Algorithmic Decision-Making.

Kosuke Imai, Zhichao Jiang

CoRR, 2020

Keyword Assisted Topic Models.

Shusei Eshima, Kosuke Imai, Tomoya Sasaki

CoRR, 2020

2016

Large-scale text processing pipeline with Apache Spark.

Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016