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ORCIDKosuke Imai
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2020 – today
- 2024
[i25]Zeyang Jia, Kosuke Imai, Michael Lingzhi Li:
The Cram Method for Efficient Simultaneous Learning and Evaluation. CoRR abs/2403.07031 (2024)- [i24]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 abs/2403.12108 (2024) - [i23]Michael Lingzhi Li, Kosuke Imai:
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules. CoRR abs/2404.17019 (2024) - 2023
- [i22]Cory McCartan, Jacob Goldin, Daniel E. Ho, Kosuke Imai:
Estimating Racial Disparities When Race is Not Observed. CoRR abs/2303.02580 (2023) - [i21]Adeline Lo, Santiago Olivella, Kosuke Imai:
A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate. CoRR abs/2305.05833 (2023) - [i20]Cory McCartan, Tyler Simko, Kosuke Imai:
Making Differential Privacy Work for Census Data Users. CoRR abs/2305.07208 (2023) - [i19]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 abs/2306.07521 (2023) - [i18]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 abs/2307.08840 (2023) - [i17]Yi Zhang, Kosuke Imai:
Individualized Policy Evaluation and Learning under Clustered Network Interference. CoRR abs/2311.02467 (2023) - 2022
- [p1]Kosuke Imai:
Causal Diagram and Social Science Research. Probabilistic and Causal Inference 2022: 647-654 - [i16]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 abs/2205.06129 (2022) - [i15]Eli Ben-Michael, Kosuke Imai, Zhichao Jiang:
Policy learning with asymmetric utilities. CoRR abs/2206.10479 (2022) - [i14]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 abs/2206.10763 (2022) - [i13]Evan T. R. Rosenman, Santiago Olivella, Kosuke Imai:
Race and ethnicity data for first, middle, and last names. CoRR abs/2208.12443 (2022) - [i12]Dimitris Bertsimas, Kosuke Imai, Michael Lingzhi Li:
Distributionally Robust Causal Inference with Observational Data. CoRR abs/2210.08326 (2022) - [i11]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 abs/2210.08383 (2022) - 2021
- [i10]Santiago Olivella, Tyler Pratt, Kosuke Imai:
Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts. CoRR abs/2103.00702 (2021) - [i9]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 abs/2105.14197 (2021) - [i8]Eli Ben-Michael
, D. James Greiner, Kosuke Imai, Zhichao Jiang:
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment. CoRR abs/2109.11679 (2021) - [i7]Cory McCartan, Jacob R. Brown, Kosuke Imai:
Measuring and Modeling Neighborhoods. CoRR abs/2110.14014 (2021) - 2020
- [i6]Shusei Eshima, Kosuke Imai, Tomoya Sasaki:
Keyword Assisted Topic Models. CoRR abs/2004.05964 (2020) - [i5]Kosuke Imai, Zhichao Jiang:
Principal Fairness for Human and Algorithmic Decision-Making. CoRR abs/2005.10400 (2020) - [i4]Benjamin Fifield, Kosuke Imai, Jun Kawahara, Christopher T. Kenny:
The Essential Role of Empirical Validation in Legislative Redistricting Simulation. CoRR abs/2006.10148 (2020) - [i3]Cory McCartan, Kosuke Imai:
Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans. CoRR abs/2008.06131 (2020) - [i2]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 abs/2012.02845 (2020)
2010 – 2019
- 2019
- [i1]Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito:
Large-scale text processing pipeline with Apache Spark. CoRR abs/1912.00547 (2019) - 2016
- [c1]Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito:
Large-scale text processing pipeline with Apache Spark. IEEE BigData 2016: 3928-3935
Coauthor Index
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last updated on 2024-05-31 02:31 CEST by the dblp team
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