Ken Kobayashi

50 papers A* 7A 3B 4C 2Journal 26Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hierarchical Time Series Forecasting with Robust Reconciliation.
Trans. Mach. Learn. Res.
Shuhei Aikawa, Aru Suzuki, Kei Yoshitake, Kanata Teshigawara, Akira Iwabuchi, Ken Kobayashi, Kazuhide Nakata
2026 J jnl
Kd-tree Based Wasserstein Distance Approximation for High-Dimensional Data.
CoRR
Kanata Teshigawara, Keisho Oh, Ken Kobayashi, Kazuhide Nakata
2026 C conf
The Electric Vehicle Routing Problem with Hard Time Windows and Nonlinear Charging and Discharging.
ICORES
Kai Yoshida, Ken Kobayashi, Kazuma Kawai, Yutaro Ito, Noriaki Ikemoto, Kazuhide Nakata
2025 A* conf
Algorithmic Recourse for Long-Term Improvement.
ICML
Kentaro Kanamori, Ken Kobayashi, Satoshi Hara, Takuya Takagi
2025 J jnl
Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization.
Trans. Mach. Learn. Res.
Akiyoshi Sannai, Yasunari Hikima, Ken Kobayashi, Akinori Tanaka, Naoki Hamada
2025 B conf
Classification of Strategic Patents Under the Scarcity of Labeled Data.
IEEE Big Data
Kohdai Toyoda, Yoshimasa Utsumi, Ken Kobayashi, Kazuhide Nakata
2025 J jnl
Content-Aware Ad Banner Layout Generation with Two-Stage Chain-of-Thought in Vision Language Models.
CoRR
Kei Yoshitake, Kento Hosono, Ken Kobayashi, Kazuhide Nakata
2025 J jnl
Hierarchical Time Series Forecasting with Robust Reconciliation.
CoRR
Shuhei Aikawa, Aru Suzuki, Kei Yoshitake, Kanata Teshigawara, Akira Iwabuchi, Ken Kobayashi, Kazuhide Nakata
2025 J jnl
Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification.
CoRR
Ryota Ueda, Takami Sato, Ken Kobayashi, Kazuhide Nakata
2025 C conf
Online Joint Optimization of Sponsored Search Ad Bid Amounts and Product Prices on e-Commerce.
ICORES
Shoichiro Koguchi, Kazuhide Nakata, Ken Kobayashi, Kosuke Kawakami, Takenori Nakajima, Kevin Kratzer
2025 B conf
Robust Prescriptive Pricing under Competitor Price Uncertainty.
IEEE Big Data
Shoki Yamao, Yusuke Mibuchi, Kai Yoshida, Jingqi Wu, Yukina Nakagawa, Yoshimi Nakaya, Ken Kobayashi, Kazuhide Nakata
2025 A conf
Stochastic Gradient Descent for Bézier Simplex Representation of Pareto Set in Multi-Objective Optimization.
AISTATS
Yasunari Hikima, Ken Kobayashi, Akinori Tanaka, Akiyoshi Sannai, Naoki Hamada
2024 — conf
Balancing Immediate Revenue and Future Off-Policy Evaluation in Coupon Allocation.
PRICAI (4)
Naoki Nishimura, Ken Kobayashi, Kazuhide Nakata
2024 J jnl
Balancing Immediate Revenue and Future Off-Policy Evaluation in Coupon Allocation.
CoRR
Naoki Nishimura, Ken Kobayashi, Kazuhide Nakata
2024 — conf
Decision Diagram Optimization for Allocating Patients to Medical Diagnosis.
OR
Aru Suzuki, Ken Kobayashi, Kazuhide Nakata, Yuta Kurume, Naoyuki Sawasaki, Yuki Sasamoto
2024 — conf
Distribution-Aligned Sequential Counterfactual Explanation with Local Outlier Factor.
PRICAI (1)
Shoki Yamao, Ken Kobayashi, Kentaro Kanamori, Takuya Takagi, Yuichi Ike, Kazuhide Nakata
2024 A* conf
Learning Decision Trees and Forests with Algorithmic Recourse.
ICML
Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike
2024 J jnl
Learning Decision Trees and Forests with Algorithmic Recourse.
CoRR
Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike
2024 A* conf
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation.
ICLR
Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito
2024 — conf
Zero-Inflated Poisson Tensor Factorization for Sparse Purchase Data in E-Commerce Markets.
ICIEA-EU
Keisuke Mizutani, Ayaka Ueta, Ryota Ueda, Ray Oishi, Tomofumi Hara, Yuki Hoshino, Ken Kobayashi, Kazuhide Nakata
2024 B conf
Zero-shot Demand Forecasting for Products with Limited Sales Periods.
IEEE Big Data
Shota Nagai, Ryota Inaba, Rei Oishi, Shuhei Aikawa, Yusuke Mibuchi, Hinata Moriyama, Ken Kobayashi, Kazuhide Nakata
2023 J jnl
An IPW-based Unbiased Ranking Metric in Two-sided Markets.
CoRR
Keisho Oh, Naoki Nishimura, Minje Sung, Ken Kobayashi, Kazuhide Nakata
2023 J jnl
Cardinality-constrained distributionally robust portfolio optimization.
Eur. J. Oper. Res.
Ken Kobayashi, Yuichi Takano, Kazuhide Nakata
2023 J jnl
Counterfactual Explanation with Missing Values.
CoRR
Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike
2023 — conf
Decision Tree Clustering for Time Series Data: An Approach for Enhanced Interpretability and Efficiency.
PRICAI (2)
Masaki Higashi, Minje Sung, Daiki Yamane, Kenta Inamuro, Shota Nagai, Ken Kobayashi, Kazuhide Nakata
2023 J jnl
SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation.
CoRR
Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito
2023 J jnl
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation.
CoRR
Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito
2022 J jnl
A Two-phase Framework with a Bézier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization.
CoRR
Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada
2022 A conf
A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization.
GECCO
Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada
2022 J jnl
Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization.
CoRR
Akiyoshi Sannai, Yasunari Hikima, Ken Kobayashi, Akinori Tanaka, Naoki Hamada
2022 A conf
Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees.
AISTATS
Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike
2021 — conf
A Case Study of In-House Competition for Ranking Constructive Comments in a News Service.
SocialNLP@NAACL
Hayato Kobayashi, Hiroaki Taguchi, Yoshimune Tabuchi, Chahine Koleejan, Ken Kobayashi, Soichiro Fujita, Kazuma Murao, Takeshi Masuyama, Taichi Yatsuka, Manabu Okumura, Satoshi Sekine
2021 J jnl
Approximate Bayesian Computation of Bézier Simplices.
CoRR
Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada
2021 J jnl
Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimization.
J. Glob. Optim.
Ken Kobayashi, Yuichi Takano, Kazuhide Nakata
2021 J jnl
Cardinality-constrained Distributionally Robust Portfolio Optimization.
CoRR
Ken Kobayashi, Yuichi Takano, Kazuhide Nakata
2021 A* conf
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization.
AAAI
Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura
2021 — conf
Soft-Material-Based Highly Reliable Tri-Axis Tactile Thin-Film Sensors for Robotic Manipulation Tasks.
IEEE SENSORS
Kei Tsukamoto, Akira Ebisui, Tetsuro Goto, Yoshiaki Sakakura, Ken Kobayashi, Satoshi Sato, Takahiro Kamei, Yutaka Imai, Kazumasa Nomoto
2020 J jnl
A branch-and-cut algorithm for solving mixed-integer semidefinite optimization problems.
Comput. Optim. Appl.
Ken Kobayashi, Yuichi Takano
2020 A* conf
Asymptotic Risk of Bézier Simplex Fitting.
AAAI
Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada
2020 A* conf
DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization.
IJCAI
Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Hiroki Arimura
2020 J jnl
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization.
CoRR
Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura
2020 J jnl
Prediction of hierarchical time series using structured regularization and its application to artificial neural networks.
CoRR
Tomokaze Shiratori, Ken Kobayashi, Yuichi Takano
2019 — conf
A Case Study on Neural Headline Generation for Editing Support.
NAACL-HLT (2)
Kazuma Murao, Ken Kobayashi, Hayato Kobayashi, Taichi Yatsuka, Takeshi Masuyama, Tatsuru Higurashi, Yoshimune Tabuchi
2019 J jnl
Asymptotic Risk of Bezier Simplex Fitting.
CoRR
Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada
2019 B conf
Automatic Neural Network Search Method for Open Set Recognition.
ICIP
Li Sun, Xiaoyi Yu, Liuan Wang, Jun Sun, Hiroya Inakoshi, Ken Kobayashi, Hiromichi Kobashi
2019 A* conf
Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization.
AAAI
Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai, Akinori Tanaka, Kenichi Bannai, Masashi Sugiyama
2019 J jnl
Mixed integer quadratic optimization formulations for eliminating multicollinearity based on variance inflation factor.
J. Glob. Optim.
Ryuta Tamura, Ken Kobayashi, Yuichi Takano, Ryuhei Miyashiro, Kazuhide Nakata, Tomomi Matsui
2008 J jnl
Contact-Based Stiffness Sensing of Human Eye.
IEEE Trans. Biomed. Eng.
Yuichi Kurita, Roland Kempf, Yoshichika Iida, Jumpei Okude, Makoto Kaneko, Hiromu K. Mishima, Hidetoshi Tsukamoto, Eiichiro Sugimoto, Seiki Katakura, Ken Kobayashi, Yoshiaki Kiuchi
2005 J jnl
Log-Periodic Dipole Antenna Array-Type Optical Electric Field Sensor.
IEICE Trans. Electron.
Naomi Hidaka, Ken Kobayashi, Hideaki Sugama, Ryo Usui, Yoshihiro Tanabe, Osamu Hashimoto
1999 J jnl
Grafting Robot.
J. Robotics Mechatronics
Ken Kobayashi, Masato Suzuki, Sadao Sasaya