Models
ICDM'2024: Utilitarian Online Learning from Open-World Soft Sensing (OWSS)
SDM'2024: Robust Sparse Online Learning for Data Streams with Streaming Features (RSOL)
TKDE'2023: Online Learning from Evolving Feature Spaces with Deep Variational Models (OLD3S)
AAAI'2022: Online Random Feature Forests for Learning in Varying Feature Spaces (ORF3V)
NIPS'2017: Learning with Feature Evolvable Streams (FESL)
AISTATS'2011: Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization (FTRL)
JMLR'2009: Efficient Online and Batch Learning Using Forward Backward Splitting (FOBOS)
BigData'2024: ℓ1,2-Norm and CUR Decomposition based Sparse Online Active Learning for Data Streams with Streaming Features (OASF)
AAAI'2022: Online Semi-Supervised Learning with Mix-Typed Streaming Features (OSLMF)
ICDM'2021: Online Learning in Variable Feature Spaces with Mixed Data (OVFM)