activity
20202026
most citedNovel Change of Measure Inequalities with Applications to PAC-Bayesian Bounds and Monte Carlo Estimation

5 citations · 11 across the 8 of their papers we have counts for

collaborators

8 papers

stat.ME2026

Sensitivity analysis for causal mediation: bridge score, sharp sensitivity bounds, and calibration

Yuki Ohnishi, Fan Li

Causal mediation analysis decomposes the total treatment effect into a portion operating through a hypothesized mediator and a residual direct portion. Identification of natural di…

stat.ME2026

Bayesian change-plane regression

Yuki Ohnishi, Fan Li

Change-plane regression represents treatment effect heterogeneity through an interpretable rule that assigns patients to two groups according to whether a linear score of baseline…

stat.ME2023★ 1 cited

Locally Private Causal Inference for Randomized Experiments

Yuki Ohnishi, Jordan Awan

Local differential privacy is a differential privacy paradigm in which individuals first apply a privacy mechanism to their data (often by adding noise) before transmitting the res…

stat.ME2022★ 1 cited

Degree of Interference: A General Framework For Causal Inference Under Interference

Yuki Ohnishi, Bikram Karmakar, Arman Sabbaghi

One core assumption typically adopted for valid causal inference is that of no interference between experimental units, i.e., the outcome of an experimental unit is unaffected by t…

stat.ME2021★ 3 cited

A Bayesian Analysis of Two-Stage Randomized Experiments in the Presence of Interference, Treatment Nonadherence, and Missing Outcomes

Yuki Ohnishi, Arman Sabbaghi

Three critical issues for causal inference that often occur in modern, complicated experiments are interference, treatment nonadherence, and missing outcomes. A great deal of resea…

stat.AP2020★ 1 cited

Bayesian Hierarchical Bernoulli-Weibull Mixture Model for Extremely Rare Events

Yuki Ohnishi, Shinsuke Sugaya

Estimating the duration of user behavior is a central concern for most internet companies. Survival analysis is a promising method for analyzing the expected duration of events and…

stat.AP2020

Applying Bayesian Hierarchical Probit Model to Interview Grade Evaluation

Yuki Ohnishi, Shinsuke Sugaya

Job interviews are a fundamental activity for most corporations to acquire potential candidates, and for job seekers to get well-rewarded and fulfilling career opportunities. In ma…

cs.LG2020★ 5 cited

Novel Change of Measure Inequalities with Applications to PAC-Bayesian Bounds and Monte Carlo Estimation

Yuki Ohnishi, Jean Honorio

We introduce several novel change of measure inequalities for two families of divergences: -divergences and -divergences. We show how the variational representation for -d…