Yoichi Chikahara
7 papers · 2018–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(6)
Core AI
(6)
Learning Types · Machine Learning
(3)
Application Areas
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core Methods
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Clinical
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
causal inference
(4)
heterogeneous treatment effect
(3)
bayesian inference
(2)
causal graph
(2)
uncertainty quantification
(1)
supervised learning
(1)
feature importance
(1)
posterior distribution
(1)
gaussian process
(1)
conditional distribution
(1)
high-dimensional data
(1)
inverse probability weighting
(1)
sensitive attribute
(1)
individual fairness
(1)
conditional average treatment effect
(1)
distributional treatment effect
(1)
intervention target
(1)
sample selection bia
(1)
prediction model
(1)
partially linear model
(1)
Papers
Fairness under Graph Uncertainty: Achieving Interventional Fairness with Partially Known Causal Graphs over Clusters of Variables
UAI 2026
MetaCaDI: A Meta-Learning Framework for Causal Discovery from Multiple Environments with Unknown Interventions
UAI 2026
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation
UAI 2024
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model
AAAI 2024
Feature selection for discovering distributional treatment effect modifiers
UAI 2022
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint
AISTATS 2021
Causal Inference in Time Series via Supervised Learning
IJCAI 2018