Niklas Åkerblom

20 papers A* 2A 1Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Bayesian Analysis of Combinatorial Gaussian Process Bandits.
ICLR
Jack Sandberg, Niklas Åkerblom, Morteza Haghir Chehreghani
2025 J jnl
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach.
Trans. Mach. Learn. Res.
Arman Rahbar, Niklas Åkerblom, Morteza Haghir Chehreghani
2024 A conf
A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification.
CIKM
Fazeleh Sadat Hoseini, Niklas Åkerblom, Morteza Haghir Chehreghani
2024 J jnl
Online Learning Models for Vehicle Usage Prediction During COVID-19.
IEEE Trans. Intell. Transp. Syst.
Tobias Lindroth, Axel Svensson, Niklas Åkerblom, Mitra Pourabdollah, Morteza Haghir Chehreghani
2024 J jnl
Tree Ensembles for Contextual Bandits.
CoRR
Hannes Nilsson, Rikard Johansson, Niklas Åkerblom, Morteza Haghir Chehreghani
2024 J jnl
Tree Ensembles for Contextual Bandits.
Trans. Mach. Learn. Res.
Hannes Nilsson, Rikard Johansson, Niklas Åkerblom, Morteza Haghir Chehreghani
2023 J jnl
A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles.
CoRR
Niklas Åkerblom, Morteza Haghir Chehreghani
2023 J jnl
A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles.
Trans. Mach. Learn. Res.
Niklas Åkerblom, Morteza Haghir Chehreghani
2023 J jnl
Combinatorial Gaussian Process Bandits in Bayesian Settings: Theory and Application for Energy-Efficient Navigation.
CoRR
Jack Sandberg, Niklas Åkerblom, Morteza Haghir Chehreghani
2023 J jnl
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach.
CoRR
Arman Rahbar, Niklas Åkerblom, Morteza Haghir Chehreghani
2023 J jnl
Online learning of energy consumption for navigation of electric vehicles.
Artif. Intell.
Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
2023 J jnl
Online learning of network bottlenecks via minimax paths.
Mach. Learn.
Niklas Åkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
2022 J jnl
A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification.
CoRR
Fazeleh Sadat Hoseini, Niklas Åkerblom, Morteza Haghir Chehreghani
2022 J jnl
An Online Learning Approach for Vehicle Usage Prediction During COVID-19.
CoRR
Tobias Lindroth, Axel Svensson, Niklas Åkerblom, Mitra Pourabdollah, Morteza Haghir Chehreghani
2022 — conf
Passive and Active Learning of Driver Behavior from Electric Vehicles.
ITSC
Federica Comuni, Christopher Mészáros, Niklas Åkerblom, Morteza Haghir Chehreghani
2022 J jnl
Passive and Active Learning of Driver Behavior from Electric Vehicles.
CoRR
Federica Comuni, Christopher Mészáros, Niklas Åkerblom, Morteza Haghir Chehreghani
2021 J jnl
Online Learning of Energy Consumption for Navigation of Electric Vehicles.
CoRR
Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
2021 J jnl
Online Learning of Network Bottlenecks via Minimax Paths.
CoRR
Niklas Åkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
2020 A* conf
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles.
IJCAI
Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
2020 J jnl
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles.
CoRR
Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani