Takuya Takagi
10 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
Top co-authors
Research topics
Keywords
decision tree
(4)
causal discovery
(3)
counterfactual explanation
(3)
actionable recourse
(2)
variable importance
(1)
causal structure learning
(1)
adversarial training
(1)
mahalanobis distance
(1)
explainable ai
(1)
bayesian optimization
(1)
mixed integer programming
(1)
feature interaction
(1)
sparse additive model
(1)
sparse model
(1)
contextual bandit
(1)
structural equation model
(1)
delayed feedback
(1)
multivariate analysis
(1)
interpretable machine learning
(1)
online learning
(1)
Papers
I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables
AAAI 2026
Sparse Additive Model Pruning for Order-Based Causal Structure Learning
AAAI 2026
Algorithmic Recourse for Long-Term Improvement
ICML 2025
Learning Decision Trees and Forests with Algorithmic Recourse
ICML 2024
A Multivariate Causal Discovery based on Post-Nonlinear Model
CLeaR 2022
Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees
AISTATS 2022
Explainable and Local Correction of Classification Models Using Decision Trees
AAAI 2022
Exploring the Whole Rashomon Set of Sparse Decision Trees
NeurIPS 2022
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization
AAAI 2021
DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization
IJCAI 2020