A proximal bundle method for nonsmooth DC optimization utilizing nonconvex cutting planes. - Kaisa Joki; Adil M. Bagirov; Napsu Karmitsa; Marko M. Mäkelä (J. Glob. Optim., 2017)

Bundle-based descent method for nonsmooth multiobjective DC optimization with inequality constraints. - Outi Montonen; Kaisa Joki (J. Glob. Optim., 2018)

Double Bundle Method for finding Clarke Stationary Points in Nonsmooth DC Programming. - Kaisa Joki; Adil M. Bagirov; Napsu Karmitsa; Marko M. Mäkelä; Sona Taheri (SIAM J. Optim., 2018)

Diagonal bundle method with convex and concave updates for large-scale nonconvex and nonsmooth optimization. - Napsu Karmitsa; Manlio Gaudioso; Kaisa Joki (Optim. Methods Softw., 2019)

Clusterwise support vector linear regression. - Kaisa Joki; Adil M. Bagirov; Napsu Karmitsa; Marko M. Mäkelä; Sona Taheri (Eur. J. Oper. Res., 2020)

Aggregate subgradient method for nonsmooth DC optimization. - Adil M. Bagirov; Sona Taheri; Kaisa Joki; Napsu Karmitsa; Marko M. Mäkelä (Optim. Lett., 2021)

Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression. - Napsu Karmitsa; Sona Taheri; Kaisa Joki; Pauliina Paasivirta; Adil M. Bagirov; Marko M. Mäkelä (Algorithms, 2023)

OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer. - Anni S. Halkola; Kaisa Joki; Tuomas Mirtti; Marko M. Mäkelä; Tero Aittokallio; Teemu D. Laajala (PLoS Comput. Biol., 2023)

Clust-Splitter - an Efficient Nonsmooth Optimization-Based Algorithm for Clustering Large Datasets. - Jenni Lampainen; Kaisa Joki; Napsu Karmitsa; Marko M. Mäkelä (CoRR, 2025)

Limited memory bundle DC algorithm for sparse pairwise kernel learning. - Napsu Karmitsa; Kaisa Joki; Antti Airola; Tapio Pahikkala (J. Glob. Optim., 2025)