5 citations · 15 across the 12 of their papers we have counts for
3 papers · 1 filter
OPTWIN: Drift identification with optimal sub-windows
Mauro Dalle Lucca Tosi, Martin Theobald
Online Learning (OL) is a field of research that is increasingly gaining attention both in academia and industry. One of the main challenges of OL is the inherent presence of conce…
TensAIR: Real-Time Training of Neural Networks from Data-streams
Mauro D. L. Tosi, Vinu E. Venugopal, Martin Theobald
Online learning (OL) from data streams is an emerging area of research that encompasses numerous challenges from stream processing, machine learning, and networking. Stream-process…
Robust and Provable Guarantees for Sparse Random Embeddings
Maciej Skorski, Alessandro Temperoni, Martin Theobald
In this work, we improve upon the guarantees for sparse random embeddings, as they were recently provided and analyzed by Freksen at al. (NIPS'18) and Jagadeesan (NIPS'19). Specifi…