3 papers
cs.LG2026
Revisited Support Vector Machines: A Unified Joint Optimization Framework with Nyström Approximation for Scalable Adaptive Learning
Nassou Gongon Benjamin, Noulapeu Ngaffo, Patrick Njionou Sadjang
The theoretical elegance of Support Vector Machines (SVMs), grounded in statistical learning theory, establishes them as a reference for robust classification. However, in the era…
cs.DB2026
BtrLog: Low-Latency Logging for Cloud Database Systems
Maximilian Kuschewski, Lam-Duy Nguyen, Matthias Jasny +3
Cloud database systems cannot rely on instance-local disks for write-ahead logging (WAL) durability, forcing WAL onto remote storage. Existing options are unsatisfying: remote bloc…
cs.DB2026
The Bi-Channel Networking Paradigm for Database Systems in the Cloud
Georg Kreuzmayr, Muhammad El-Hindi, Benjamin Wagner +2
When network links were slow, cloud and distributed database systems could rely on generic kernel abstractions and treat network communication as a black box. With today's fast clo…