Novel change of measure inequalities with applications to PAC-Bayesian bounds and Monte Carlo estimation Y Ohnishi, J Honorio International Conference on Artificial Intelligence and Statistics, 1711-1719, 2021 | 38 | 2021 |
A Bayesian Analysis of Two-Stage Randomized Experiments in the Presence of Interference, Treatment Nonadherence, and Missing Outcomes Y Ohnishi, A Sabbaghi Bayesian Analysis 19 (1), 205-234, 2024 | 7 | 2024 |
Locally Private Causal Inference for Randomized Experiments Y Ohnishi, J Awan Journal of Machine Learning Research 26 (14), 1-40, 2025 | 5* | 2025 |
Degree of interference: A general framework for causal inference under interference Y Ohnishi, B Karmakar, A Sabbaghi arXiv preprint arXiv:2210.17516, 2022 | 3 | 2022 |
Bayesian Hierarchical Bernoulli-Weibull Mixture Model for Extremely Rare Events Y Ohnishi, S Sugaya INFORMS Conference on Business Analytics & Operations Research, 2018, 2020 | 2 | 2020 |
Applying Bayesian Hierarchical Probit Model to Interview Grade Evaluation Y Ohnishi, S Sugaya KDD 2019 Workshop on Talent and Management Computing, 2020 | 1 | 2020 |
Inferring Causal Effect of a Digital Communication Strategy under a Latent Sequential Ignorability Assumption and Treatment Noncompliance Y Ohnishi, B Karmakar, W Kar Journal of the American Statistical Association, 1-23, 2024 | | 2024 |
A Bayesian nonparametric approach to mediation and spillover effects with multiple mediators in cluster-randomized trials Y Ohnishi, F Li arXiv preprint arXiv:2411.03489, 2024 | | 2024 |
Differentially Private Covariate Balancing Causal Inference Y Ohnishi, J Awan arXiv preprint arXiv:2410.14789, 2024 | | 2024 |
Causal Inference in the Face of Assumption Violations Y Ohnishi Purdue University Graduate School, 2024 | | 2024 |