Kosuke Imai

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Sequential Monte Carlo

Experimental Evaluation

Top Venues

Publications

Michael Lingzhi Li, Kosuke Imai
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules. CoRR (2024)
Eli Ben-Michael, D. James Greiner, Melody Huang, Kosuke Imai, Zhichao Jiang, Sooahn Shin
Does AI help humans make better decisions? A methodological framework for experimental evaluation. CoRR (2024)
Zeyang Jia, Kosuke Imai, Michael Lingzhi Li
The Cram Method for Efficient Simultaneous Learning and Evaluation. CoRR (2024)
Yi Zhang, Kosuke Imai
Individualized Policy Evaluation and Learning under Clustered Network Interference. CoRR (2023)
Cory McCartan, Tyler Simko, Kosuke Imai
Making Differential Privacy Work for Census Data Users. CoRR (2023)
Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan, Tyler Simko, Kosuke Imai
Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods. CoRR (2023)
Adeline Lo, Santiago Olivella, Kosuke Imai
A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate. CoRR (2023)
Cory McCartan, Jacob Goldin, Daniel E. Ho, Kosuke Imai
Estimating Racial Disparities When Race is Not Observed. CoRR (2023)
Zeyang Jia, Eli Ben-Michael, Kosuke Imai
Bayesian Safe Policy Learning with Chance Constrained Optimization: Application to Military Security Assessment during the Vietnam War. CoRR (2023)
Evan T. R. Rosenman, Santiago Olivella, Kosuke Imai
Race and ethnicity data for first, middle, and last names. CoRR (2022)
Dimitris Bertsimas, Kosuke Imai, Michael Lingzhi Li
Distributionally Robust Causal Inference with Observational Data. CoRR (2022)
Cory McCartan, Christopher T. Kenny, Tyler Simko, George Garcia III, Kevin Wang, Melissa Wu, Shiro Kuriwaki, Kosuke Imai
Simulated redistricting plans for the analysis and evaluation of redistricting in the United States: 50stateSimulations. CoRR (2022)
Eli Ben-Michael, Kosuke Imai, Zhichao Jiang
Policy learning with asymmetric utilities. CoRR (2022)
Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan, Evan T. R. Rosenman, Tyler Simko, Kosuke Imai
Comment: The Essential Role of Policy Evaluation for the 2020 Census Disclosure Avoidance System. CoRR (2022)
Kosuke Imai, Santiago Olivella, Evan T. R. Rosenman
Addressing Census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements. CoRR (2022)
Eli Ben-Michael, D. James Greiner, Kosuke Imai, Zhichao Jiang
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment. CoRR (2021)
Santiago Olivella, Tyler Pratt, Kosuke Imai
Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts. CoRR (2021)
Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan, Evan Rosenman, Tyler Simko, Kosuke Imai
The Impact of the U.S. Census Disclosure Avoidance System on Redistricting and Voting Rights Analysis. CoRR (2021)
Cory McCartan, Jacob R. Brown, Kosuke Imai
Measuring and Modeling Neighborhoods. CoRR (2021)
Benjamin Fifield, Kosuke Imai, Jun Kawahara, Christopher T. Kenny
The Essential Role of Empirical Validation in Legislative Redistricting Simulation. CoRR (2020)
Kosuke Imai, Zhichao Jiang, James Greiner, Ryan Halen, Sooahn Shin
Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment. CoRR (2020)
Shusei Eshima, Kosuke Imai, Tomoya Sasaki
Keyword Assisted Topic Models. CoRR (2020)
Cory McCartan, Kosuke Imai
Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans. CoRR (2020)
Kosuke Imai, Zhichao Jiang
Principal Fairness for Human and Algorithmic Decision-Making. CoRR (2020)
Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito
Large-scale text processing pipeline with Apache Spark. CoRR (2019)
Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito
Large-scale text processing pipeline with Apache Spark. IEEE BigData (2016)