Kohei Hatano

According to our database1, Kohei Hatano authored at least 87 papers between 2001 and 2023.

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Bibliography

2023
On Softwarization of Intelligence in 6G Networks for Ultra-Fast Optimal Policy Selection: Challenges and Opportunities.
IEEE Netw., 2023

Dual objective bandit for best channel selection in hybrid band wireless systems.
J. Ambient Intell. Humaniz. Comput., 2023

An Improved Metarounding Algorithm via Frank-Wolfe.
CoRR, 2023

Pure exploration in multi-armed bandits with low rank structure using oblivious sampler.
CoRR, 2023

Load Balancing Multi-Player MAB Approaches for RIS-Aided mmWave User Association.
IEEE Access, 2023

On Enhancing WiGig Communications With A UAV-Mounted RIS System: A Contextual Multi-Armed Bandit Approach.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Vehicle Classification in Intelligent Transportation Systems Using Deep Learning and Seismic Data.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2023

Budgeted Thompson Sampling for Trajectory Planning in UAV-Enhanced NOMA Emergency Networks.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2023

A Dual-Objective Bandit-Based Opportunistic Band Selection Strategy for Hybrid-Band V2X Metaverse Content Update.
Proceedings of the IEEE Global Communications Conference, 2023

Boosting-Based Construction of BDDs for Linear Threshold Functions and Its Application to Verification of Neural Networks.
Proceedings of the Discovery Science - 26th International Conference, 2023

Extended Formulations via Decision Diagrams.
Proceedings of the Computing and Combinatorics - 29th International Conference, 2023

Advanced MAB Schemes for WiGig-Aided Aerial Mounted RIS Wireless Networks.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022
Energy Aware Multiarmed Bandit for Millimeter Wave-Based UAV Mounted RIS Networks.
IEEE Wirel. Commun. Lett., 2022

Optimal Channel Selection in Hybrid RF/VLC Networks: A Multi-Armed Bandit Approach.
IEEE Trans. Veh. Technol., 2022

Leveraging Machine Learning for Millimeter Wave Beamforming in Beyond 5G Networks.
IEEE Syst. J., 2022

Two-Stage Multiarmed Bandit for Reconfigurable Intelligent Surface Aided Millimeter Wave Communications.
Sensors, 2022

Energy-Aware Hybrid RF-VLC Multiband Selection in D2D Communication: A Stochastic Multiarmed Bandit Approach.
IEEE Internet Things J., 2022

Reconfigurable intelligent surface-aided millimetre wave communications utilizing two-phase minimax optimal stochastic strategy bandit.
IET Commun., 2022

Boosting as Frank-Wolfe.
CoRR, 2022

Cost-Effective MAB Approaches for Reconfigurable Intelligent Surface Aided Millimeter Wave Relaying.
IEEE Access, 2022

AI-Enabled UAV Communications: Challenges and Future Directions.
IEEE Access, 2022

UAV Positioning with Joint NOMA Power Allocation and Receiver Node Activation.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

2021
MAB Algorithms for Single and Concurrent Millimeter Wave Indoor Beamforming Training.
Dataset, April, 2021

Two-Hop Relay Probing in WiGig Device-to-Device Networks Using Sleeping Contextual Bandits.
IEEE Wirel. Commun. Lett., 2021

Sleeping Contextual/Non-Contextual Thompson Sampling MAB for mmWave D2D Two-Hop Relay Probing.
IEEE Trans. Veh. Technol., 2021

Wi-Fi Assisted Contextual Multi-Armed Bandit for Neighbor Discovery and Selection in Millimeter Wave Device to Device Communications.
Sensors, 2021

Improved Algorithms for Online Load Balancing.
Proceedings of the SOFSEM 2021: Theory and Practice of Computer Science, 2021

WiGig Wireless Sensor Selection Using Sophisticated Multi Armed Bandit Schemes.
Proceedings of the Thirteenth International Conference on Mobile Computing and Ubiquitous Network, 2021

Improved UCB-based Energy-Efficient Channel Selection in Hybrid-Band Wireless Communication.
Proceedings of the IEEE Global Communications Conference, 2021

An online semi-definite programming with a generalised log-determinant regularizer and its applications.
Proceedings of the Asian Conference on Machine Learning, 2021

Expert advice problem with noisy low rank loss.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Boosting over non-deterministic ZDDs.
Theor. Comput. Sci., 2020

Gateway Selection in Millimeter Wave UAV Wireless Networks Using Multi-Player Multi-Armed Bandit.
Sensors, 2020

Theory and Algorithms for Shapelet-Based Multiple-Instance Learning.
Neural Comput., 2020

Foreword.
IEICE Trans. Inf. Syst., 2020

Neighbor Discovery and Selection in Millimeter Wave D2D Networks Using Stochastic MAB.
IEEE Commun. Lett., 2020

A generalised log-determinant regularizer for online semi-definite programming and its applications.
CoRR, 2020

Minimax Optimal Stochastic Strategy (MOSS) For Neighbor Discovery and Selection In Millimeter Wave D2D Networks.
Proceedings of the 23rd International Symposium on Wireless Personal Multimedia Communications, 2020

Multiagent Multi-Armed Bandit Schemes for Gateway Selection in UAV Networks.
Proceedings of the IEEE Globecom Workshops, 2020

2019
Pilot Study to Estimate "Difficult" Area in e-Learning Material by Physiological Measurements.
Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

Proposal and Implementation of an Elderly-oriented User Interface for Learning Support Systems.
Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

Succinct Representation of Linear Extensions via MDDs and Its Application to Scheduling Under Precedence Constraints.
Proceedings of the Combinatorial Algorithms - 30th International Workshop, 2019

Recognition of Japanese Historical Hand-Written Characters Based on Object Detection Methods.
Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, 2019

Integrating Multimodal Learning Analytics and Inclusive Learning Support Systems for People of All Ages.
Proceedings of the Cross-Cultural Design. Culture and Society, 2019

2018
Efficient Reformulation of 1-Norm Ranking SVM.
IEICE Trans. Inf. Syst., 2018

Tighter Generalization Bounds for Matrix Completion Via Factorization Into Constrained Matrices.
IEICE Trans. Inf. Syst., 2018

Online Linear Optimization with the Log-Determinant Regularizer.
IEICE Trans. Inf. Syst., 2018

Online Combinatorial Optimization with Multiple Projections and Its Application to Scheduling Problem.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018

Multiple-Instance Learning by Boosting Infinitely Many Shapelet-based Classifiers.
CoRR, 2018

Decision Diagrams for Solving a Job Scheduling Problem Under Precedence Constraints.
Proceedings of the 17th International Symposium on Experimental Algorithms, 2018

Combinatorial Online Prediction.
Proceedings of the International Symposium on Information Theory and Its Applications, 2018

Towards Supporting Multigenerational Co-creation and Social Activities: Extending Learning Analytics Platforms and Beyond.
Proceedings of the Distributed, Ambient and Pervasive Interactions: Technologies and Contexts, 2018

Can Machine Learning Techniques Provide Better Learning Support for Elderly People?
Proceedings of the Distributed, Ambient and Pervasive Interactions: Technologies and Contexts, 2018

2017
Boosting the kernelized shapelets: Theory and algorithms for local features.
CoRR, 2017

2016
Bandit online optimization over the permutahedron.
Theor. Comput. Sci., 2016

An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and Actions.
Neural Comput., 2016

Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling.
Proceedings of the 33nd International Conference on Machine Learning, 2016

An Attempt to Promote Open Data for Digital Humanities in Japanese University Libraries.
Proceedings of the Digital Libraries: Knowledge, Information, and Data in an Open Access Society, 2016

A Combinatorial Metrical Task System Problem Under the Uniform Metric.
Proceedings of the Algorithmic Learning Theory - 27th International Conference, 2016

2015
Online Density Estimation of Bradley-Terry Models.
Proceedings of The 28th Conference on Learning Theory, 2015

Online Linear Optimization for Job Scheduling Under Precedence Constraints.
Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015

2014
Efficient Sampling Method for Monte Carlo Tree Search Problem.
IEICE Trans. Inf. Syst., 2014

Online matrix prediction for sparse loss matrices.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013
Efficient Algorithms for Combinatorial Online Prediction.
Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013

Combinatorial Online Prediction via Metarounding.
Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013

2012
Online Rank Aggregation.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

Polyphonic Music Classification on Symbolic Data Using Dissimilarity Functions.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Online Prediction under Submodular Constraints.
Proceedings of the Algorithmic Learning Theory - 23rd International Conference, 2012

2011
Adaptive Online Prediction Using Weighted Windows.
IEICE Trans. Inf. Syst., 2011

Music Genre Classification using Similarity Functions.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Online Linear Optimization over Permutations.
Proceedings of the Algorithms and Computation - 22nd International Symposium, 2011

Approximate Reduction from AUC Maximization to 1-Norm Soft Margin Optimization.
Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011

2010
Ellipsoidal Support Vector Machines.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Sparse Substring Pattern Set Discovery Using Linear Programming Boosting.
Proceedings of the Discovery Science - 13th International Conference, 2010

2009
Theory and Algorithm for Learning with Dissimilarity Functions.
Neural Comput., 2009

Linear Programming Boosting by Column and Row Generation.
Proceedings of the Discovery Science, 12th International Conference, 2009

2008
String Kernels Based on Variable-Length-Don't-Care Patterns.
Proceedings of the Discovery Science, 11th International Conference, 2008

Online Learning of Maximum p-Norm Margin Classifiers with Bias.
Proceedings of the 21st Annual Conference on Learning Theory, 2008

Smooth Boosting for Margin-Based Ranking.
Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008

2007
Unsupervised Spam Detection Based on String Alienness Measures.
Proceedings of the Discovery Science, 10th International Conference, 2007

Reducing Trials by Thinning-Out in Skill Discovery.
Proceedings of the Discovery Science, 10th International Conference, 2007

2006
Smooth Boosting Using an Information-Based Criterion.
Proceedings of the Algorithmic Learning Theory, 17th International Conference, 2006

2005
Practical Algorithms for Pattern Based Linear Regression.
Proceedings of the Discovery Science, 8th International Conference, 2005

2004
A Simple Boosting Algorithm Using Multi-Way Branching Decision Trees.
Theory Comput. Syst., 2004

Learning r-of-k Functions by Boosting.
Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004

2003
Boosting versus Covering.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2001
A Simpler Analysis of the Multi-way Branching Decision Tree Boosting Algorithm.
Proceedings of the Algorithmic Learning Theory, 12th International Conference, 2001


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