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2025
Mark Unveiling low-dimensional patterns induced by convex non-differentiable regularizers
Hejný, Ivan ^LU ; Wallin, Jonas ^LU ; Bogdan, Małgorzata ^LU and Kos, Michał ^LU (2025) In Annals of the Institute of Statistical Mathematics
- Contribution to journal › Article
2022
Mark Sparse index clones via the sorted ℓ₁-Norm
Kremer, Philipp J. ; Brzyski, Damian ; Bogdan, Małgorzata ^LU and Paterlini, Sandra (2022) In Quantitative Finance 22(2). p.349-366
- Contribution to journal › Article
Mark Efficient Proximal Mapping Computation for Low-Rank Inducing Norms
Grussler, Christian ^LU and Giselsson, Pontus ^LU (2022) In Journal of Optimization Theory and Applications 192(1). p.168-194
- Contribution to journal › Article
2021
Mark Learning regularized representations of categorically labelled surface EMG enables simultaneous and proportional myoelectric control
Olsson, Alexander E. ^LU ; Malešević, Nebojša ^LU ; Björkman, Anders ^LU and Antfolk, Christian ^LU (2021) In Journal of NeuroEngineering and Rehabilitation 18.
- Contribution to journal › Article
2020
Mark Learning hidden Markov models with persistent states by penalizing jumps
Nystrup, Peter ^LU ; Lindström, Erik ^LU and Madsen, Henrik (2020) In Expert Systems with Applications 150.
- Contribution to journal › Article
Mark An unbiased approach to compressed sensing
Carlsson, Marcus ^LU ; Gerosa, Daniele ^LU and Olsson, Carl ^LU (2020) In Inverse Problems 36(11).
- Contribution to journal › Article
Mark The Strong Screening Rule For SLOPE
Larsson, Johan ^LU ; Bogdan, Malgorzata ^LU and Wallin, Jonas ^LU (2020) Neural Information Processing Systems In Advances in Neural Information Processing Systems p.1-12
- Contribution to journal › Article
2019
Mark On Convex Envelopes and Regularization of Non-convex Functionals Without Moving Global Minima
Carlsson, Marcus ^LU (2019) In Journal of Optimization Theory and Applications 183(1). p.66-84
- Contribution to journal › Article
2018
Mark Low-rank inducing norms with optimality interpretations^∗
Grussler, Christian ^LU and Giselsson, Pontus ^LU (2018) In SIAM Journal on Optimization 28(4). p.3057-3078
- Contribution to journal › Article
Mark Hyperparameter-selection for sparse regression : A probablistic approach
Kronvall, Ted ^LU and Jakobsson, Andreas ^LU (2018) 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 2017-October. p.853-857
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding

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