Kosuke Imai - RankMe

33 papers Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalized Sequential Monte Carlo Sampling for Redistricting Simulation. CoRR Philip O'Sullivan, Kosuke Imai, Cory McCartan
2025	J	`jnl`	Bridging Prediction and Intervention Problems in Social Systems. CoRR Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou, Luke Guerdan, Jessica Hullman, Daniel Malinsky, Bryan Wilder, Simone Zhang, Hammaad Adam, Amanda Coston, Benjamin Laufer, Ezinne Nwankwo, Michael Zanger-Tishler, Eli Ben-Michael, Solon Barocas, Avi Feller, Marissa Gerchick, Talia Gillis, Shion Guha, Daniel E. Ho, Lily Hu, Kosuke Imai, Sayash Kapoor, Joshua Loftus, Razieh Nabi, Arvind Narayanan, Ben Recht, Juan Carlos Perdomo, Matthew J. Salganik, Mark P. Sendak, Alexander Tolbert, Berk Ustun, Suresh Venkatasubramanian, Angelina Wang, Ashia Wilson
2025	J	`jnl`	GenAI-Powered Inference. CoRR Kosuke Imai, Kentaro Nakamura
2025	J	`jnl`	Statistical Decision Theory with Counterfactual Loss. CoRR Benedikt Koch, Kosuke Imai
2025	J	`jnl`	Using AI to Summarize US Presidential Campaign TV Advertisement Videos, 1952-2012. CoRR Adam Breuer, Bryce J. Dietrich, Michael H. Crespin, Matthew Butler, J. A. Pyrse, Kosuke Imai
2024	J	`jnl`	Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments. CoRR Kosuke Imai, Kentaro Nakamura
2024	J	`jnl`	Does AI help humans make better decisions? A methodological framework for experimental evaluation. CoRR Eli Ben-Michael, D. James Greiner, Melody Huang, Kosuke Imai, Zhichao Jiang, Sooahn Shin
2024	J	`jnl`	Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules. CoRR Michael Lingzhi Li, Kosuke Imai
2024	J	`jnl`	The Cram Method for Efficient Simultaneous Learning and Evaluation. CoRR Zeyang Jia, Kosuke Imai, Michael Lingzhi Li
2023	J	`jnl`	A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate. CoRR Adeline Lo, Santiago Olivella, Kosuke Imai
2023	J	`jnl`	Bayesian Safe Policy Learning with Chance Constrained Optimization: Application to Military Security Assessment during the Vietnam War. CoRR Zeyang Jia, Eli Ben-Michael, Kosuke Imai
2023	J	`jnl`	Estimating Racial Disparities When Race is Not Observed. CoRR Cory McCartan, Jacob Goldin, Daniel E. Ho, Kosuke Imai
2023	J	`jnl`	Evaluating Bias and Noise Induced by the U.S. Census Bureau's Privacy Protection Methods. CoRR Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan, Tyler Simko, Kosuke Imai
2023	J	`jnl`	Individualized Policy Evaluation and Learning under Clustered Network Interference. CoRR Yi Zhang, Kosuke Imai
2023	J	`jnl`	Making Differential Privacy Work for Census Data Users. CoRR Cory McCartan, Tyler Simko, Kosuke Imai
2022	J	`jnl`	Addressing Census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements. CoRR Kosuke Imai, Santiago Olivella, Evan T. R. Rosenman
2022	—	`ch.`	Causal Diagram and Social Science Research. Probabilistic and Causal Inference Kosuke Imai
2022	J	`jnl`	Comment: The Essential Role of Policy Evaluation for the 2020 Census Disclosure Avoidance System. CoRR Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan, Evan T. R. Rosenman, Tyler Simko, Kosuke Imai
2022	J	`jnl`	Distributionally Robust Causal Inference with Observational Data. CoRR Dimitris Bertsimas, Kosuke Imai, Michael Lingzhi Li
2022	J	`jnl`	Policy learning with asymmetric utilities. CoRR Eli Ben-Michael, Kosuke Imai, Zhichao Jiang
2022	J	`jnl`	Race and ethnicity data for first, middle, and last names. CoRR Evan T. R. Rosenman, Santiago Olivella, Kosuke Imai
2022	J	`jnl`	Simulated redistricting plans for the analysis and evaluation of redistricting in the United States: 50stateSimulations. CoRR Cory McCartan, Christopher T. Kenny, Tyler Simko, George Garcia III, Kevin Wang, Melissa Wu, Shiro Kuriwaki, Kosuke Imai
2021	J	`jnl`	Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts. CoRR Santiago Olivella, Tyler Pratt, Kosuke Imai
2021	J	`jnl`	Measuring and Modeling Neighborhoods. CoRR Cory McCartan, Jacob R. Brown, Kosuke Imai
2021	J	`jnl`	Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment. CoRR Eli Ben-Michael, D. James Greiner, Kosuke Imai, Zhichao Jiang
2021	J	`jnl`	The Impact of the U.S. Census Disclosure Avoidance System on Redistricting and Voting Rights Analysis. CoRR Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan, Evan Rosenman, Tyler Simko, Kosuke Imai
2020	J	`jnl`	Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment. CoRR Kosuke Imai, Zhichao Jiang, James Greiner, Ryan Halen, Sooahn Shin
2020	J	`jnl`	Keyword Assisted Topic Models. CoRR Shusei Eshima, Kosuke Imai, Tomoya Sasaki
2020	J	`jnl`	Principal Fairness for Human and Algorithmic Decision-Making. CoRR Kosuke Imai, Zhichao Jiang
2020	J	`jnl`	Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans. CoRR Cory McCartan, Kosuke Imai
2020	J	`jnl`	The Essential Role of Empirical Validation in Legislative Redistricting Simulation. CoRR Benjamin Fifield, Kosuke Imai, Jun Kawahara, Christopher T. Kenny
2019	J	`jnl`	Large-scale text processing pipeline with Apache Spark. CoRR Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito
2016	—	`conf`	Large-scale text processing pipeline with Apache Spark. IEEE BigData Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito