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Kaisa Joki
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2020 – today
- 2023
- [j8]Napsu Karmitsa, Sona Taheri, Kaisa Joki, Pauliina Paasivirta, Adil M. Bagirov, Marko M. Mäkelä:
Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression. Algorithms 16(9): 444 (2023) - [j7]Anni S. Halkola, Kaisa Joki, Tuomas Mirtti, Marko M. Mäkelä, Tero Aittokallio, Teemu D. Laajala:
OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer. PLoS Comput. Biol. 19(3) (2023) - 2021
- [j6]Adil M. Bagirov, Sona Taheri, Kaisa Joki, Napsu Karmitsa, Marko M. Mäkelä:
Aggregate subgradient method for nonsmooth DC optimization. Optim. Lett. 15(1): 83-96 (2021) - 2020
- [j5]Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri:
Clusterwise support vector linear regression. Eur. J. Oper. Res. 287(1): 19-35 (2020)
2010 – 2019
- 2019
- [j4]Napsu Karmitsa, Manlio Gaudioso, Kaisa Joki:
Diagonal bundle method with convex and concave updates for large-scale nonconvex and nonsmooth optimization. Optim. Methods Softw. 34(2): 363-382 (2019) - 2018
- [j3]Outi Montonen, Kaisa Joki:
Bundle-based descent method for nonsmooth multiobjective DC optimization with inequality constraints. J. Glob. Optim. 72(3): 403-429 (2018) - [j2]Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri:
Double Bundle Method for finding Clarke Stationary Points in Nonsmooth DC Programming. SIAM J. Optim. 28(2): 1892-1919 (2018) - 2017
- [j1]Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä:
A proximal bundle method for nonsmooth DC optimization utilizing nonconvex cutting planes. J. Glob. Optim. 68(3): 501-535 (2017)
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