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cs.LG2024
A Scalable Approach to Covariate and Concept Drift Management via Adaptive Data Segmentation
Vennela Yarabolu, Govind Waghmare, Sonia Gupta +1
In many real-world applications, continuous machine learning (ML) systems are crucial but prone to data drift, a phenomenon where discrepancies between historical training data and…
cs.LG2022★ 4 cited
Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes
Govind Waghmare, Ankur Debnath, Siddhartha Asthana +1
Temporal Point Processes (TPP) are probabilistic generative frameworks. They model discrete event sequences localized in continuous time. Generally, real-life events reveal descrip…