Martin Hellkvist

According to our database, Martin Hellkvist authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Distributed Continual Learning With CoCoA in High-Dimensional Linear Regression.

Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén

IEEE Trans. Signal Process., 2024

2023

Generalization under Model Mismatch and Distributed Learning.

Martin Hellkvist

PhD thesis, 2023

Estimation Under Model Misspecification With Fake Features.

Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén

IEEE Trans. Signal Process., 2023

Regularization Trade-offs with Fake Features.

Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Regularization with Fake Features.

Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén

CoRR, 2022

Continual Learning with Distributed Optimization: Does COCOA Forget?

Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén

CoRR, 2022

Estimation and Model Misspecification: Fake and Missing Features.

Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén

CoRR, 2022

2021

Linear Regression With Distributed Learning: A Generalization Error Perspective.

Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén

IEEE Trans. Signal Process., 2021

Model Mismatch Trade-offs in LMMSE Estimation.

Martin Hellkvist, Ayça Özçelikkale

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Generalization Error for Linear Regression under Distributed Learning.

Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020