Kazuhide Nakata

About Kazuhide Nakata

Kazuhide Nakata, With an exceptional h-index of 20 and a recent h-index of 14 (since 2020), a distinguished researcher at Tokyo Institute of Technology, specializes in the field of Operations Research, Optimization, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Approximation hierarchies for copositive cone over symmetric cone and their comparison

SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation

The Realized Local Volatility Surface

Decision Tree Clustering for Time Series Data: An Approach for Enhanced Interpretability and Efficiency

Patent Classification for Business Strategy with BERT

IPC prediction of patent documents using neural network with attention for hierarchical structure

Towards assessing and benchmarking risk-return tradeoff of off-policy evaluation

Cardinality-constrained distributionally robust portfolio optimization

Kazuhide Nakata Information

University

Position

___

Citations(all)

2690

Citations(since 2020)

998

Cited By

2028

hIndex(all)

20

hIndex(since 2020)

14

i10Index(all)

26

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Kazuhide Nakata Skills & Research Interests

Operations Research

Optimization

Machine Learning

Top articles of Kazuhide Nakata

Title

Journal

Author(s)

Publication Date

Approximation hierarchies for copositive cone over symmetric cone and their comparison

Journal of Global Optimization

Mitsuhiro Nishijima

Kazuhide Nakata

2024/4

SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation

arXiv preprint arXiv:2311.18206

Haruka Kiyohara

Ren Kishimoto

Kosuke Kawakami

Ken Kobayashi

Kazuhide Nakata

...

2023/11/30

The Realized Local Volatility Surface

Journal of Investment Strategies

Yuming Ma

Shintaro Sengoku

Kazuhide Nakata

2023/6/27

Decision Tree Clustering for Time Series Data: An Approach for Enhanced Interpretability and Efficiency

Masaki Higashi

Minje Sung

Daiki Yamane

Kenta Inamuro

Shota Nagai

...

2023/11/10

Patent Classification for Business Strategy with BERT

Masaki Higashi

Yoshimasa Utsumi

Kazuhide Nakata

2023/4/27

IPC prediction of patent documents using neural network with attention for hierarchical structure

Plos one

Yuki Hoshino

Yoshimasa Utsumi

Yoshiro Matsuda

Yoshitoshi Tanaka

Kazuhide Nakata

2023/3/2

Towards assessing and benchmarking risk-return tradeoff of off-policy evaluation

Haruka Kiyohara

Ren Kishimoto

Kosuke Kawakami

Ken Kobayashi

Kazuhide Nakata

...

2023/10/13

Cardinality-constrained distributionally robust portfolio optimization

European Journal of Operational Research

Ken Kobayashi

Yuichi Takano

Kazuhide Nakata

2023/9/16

Temporal Positive Collective Matrix Factorization for Interpretable Trend Analysis in Recommender Systems

Tomofumi Hara

Yuki Sumiya

Kazuhide Nakata

2023/12/4

Inverse-Optimization-Based Uncertainty Set for Robust Linear Optimization

arXiv preprint arXiv:2312.00391

Ayaka Ueta

Mirai Tanaka

Ken Kobayashi

Kazuhide Nakata

2023/12/1

An IPW-based Unbiased Ranking Metric in Two-sided Markets

arXiv preprint arXiv:2307.10204

Keisho Oh

Naoki Nishimura

Minje Sung

Ken Kobayashi

Kazuhide Nakata

2023/7/14

A deep bi-directional long-short term memory neural network-based methodology to enhance short-term electricity load forecasting for residential applications

Computers & Industrial Engineering

Sara Atef

Kazuhide Nakata

Amr B Eltawil

2022/8/1

有報分析への利用が進む 自然言語処理の発展と有用性

企業会計= Accounting

井上光太郎, 中田和秀

2022

Generalizations of doubly nonnegative cones and their comparison

arXiv preprint arXiv:2204.12119

Mitsuhiro Nishijima

Kazuhide Nakata

2022/4/26

Generalization of Doubly Nonnegative Cone: Focusing on Inner-Approximation for Generalized Copositive Cone

Mitsuhiro Nishijima

Kazuhide Nakata

2022/4/26

Solving large break minimization problems in a mirrored double round-robin tournament using quantum annealing

Plos one

Michiya Kuramata

Ryota Katsuki

Kazuhide Nakata

2022/4/8

Predicting response probability by embedding questions in online question recommendation

Yuki Hoshino

Makoto Tasaki

Kota Ishizuka

Motoya Azami

Keisuke Mizutani

...

2022/11/17

Noise–Robust Sampling for Collaborative Metric Learning

The Review of Socionetwork Strategies

Ryo Matsui

Suguru Yaginuma

Taketo Naito

Kazuhide Nakata

2022/10

A block coordinate descent method for sensor network localization

Optimization Letters

Mitsuhiro Nishijima

Kazuhide Nakata

2022/4

A hybrid variable neighbourhood search and dynamic programming approach for the nurse rostering problem

Journal of Industrial & Management Optimization

Mohammed Abdelghany

Amr B Eltawil

Zakaria Yahia

Kazuhide Nakata

2020

See List of Professors in Kazuhide Nakata University(Tokyo Institute of Technology)