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cs.LG2026
A practical DIRECT-type algorithm for medium-scale black-box global optimization
Linas Stripinis, Remigijus Paulavičius
The DIRECT algorithm is a deterministic global optimization method known for its versatility and balanced exploration-exploitation strategy. However, DIRECT-type algorithms are pri…
cs.LG2022
Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data
Dominykas Šeputis, Jevgenij Gamper, Remigijus Paulavičius
In this work, we identify open research opportunities in applying Neural Temporal Point Process (NTPP) models to industry scale customer behavior data by carefully reproducing NTPP…