Ken Kobayashi

12 papers · 2019–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22)

🧬 Topic Evolution 💎 Century Club · Bronze 🚀 Conference Pioneer 🗃️ Keyword Collector (57)

Venues

AAAI (3) AISTATS (2) ICML (2) NAACL (2) ICLR (1) IJCAI (1) UAI (1)

Top co-authors

Kentaro Kanamori (5) Takuya Takagi (5) Naoki Hamada (3) Yuichi Ike (3) Akinori Tanaka (3) Akiyoshi Sannai (3) Hiroki Arimura (2) Taichi Yatsuka (2) Kazuhide Nakata (2) Kazuma Murao (2)

Research topics

Machine Learning (10) Mathematics & Optimization (7) Optimization (7) Optimization & Theory (5) Core Methods (4) Artificial Intelligence (3) Core AI (3) Application Areas (2) Mathematics (2) Learning Types (1)

Keywords

multi-objective optimization (3) counterfactual explanation (3) bezier simplex (2) actionable recourse (2) decision tree (2) pareto set (2) adversarial training (1) interpretable machine learning (1) off-policy evaluation (1) mixed integer programming (1) distribution shift (1) mahalanobis distance (1) policy selection (1) bayesian optimization (1) regret minimization (1) text summarization (1) ranking model (1) feature interaction (1) contextual bandit (1) group lasso (1)

Papers

Robust Decision-Focused Learning via Worst-Case Regret Minimization UAI 2026 Algorithmic Recourse for Long-Term Improvement ICML 2025 Stochastic Gradient Descent for Bézier Simplex Representation of Pareto Set in Multi-Objective Optimization AISTATS 2025 Learning Decision Trees and Forests with Algorithmic Recourse ICML 2024 Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation ICLR 2024 Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees AISTATS 2022 A Case Study of In-House Competition for Ranking Constructive Comments in a News Service NAACL 2021 Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization AAAI 2021 Asymptotic Risk of Bézier Simplex Fitting AAAI 2020 DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization IJCAI 2020 A Case Study on Neural Headline Generation for Editing Support NAACL 2019 Bézier Simplex Fitting: Describing Pareto Fronts of´ Simplicial Problems with Small Samples in Multi-Objective Optimization AAAI 2019