2 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2026★ 2 cited
Distance metric learning for conditional anomaly detection
Michal Valko, Milos Hauskrecht
Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly det…
stat.ML2018★ 2 cited
Rotting bandits are not harder than stochastic ones
Julien Seznec, Andrea Locatelli, Alexandra Carpentier +2
In stochastic multi-armed bandits, the reward distribution of each arm is assumed to be stationary. This assumption is often violated in practice (e.g., in recommendation systems),…