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Found 3 papers, 1 papers with code
Adaptive Bernstein Change Detector for High-Dimensional Data Streams
In high-dimensional data, change detectors should not only be able to identify when changes happen, but also in which subspace they occur.
Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals
We study the stochastic Budgeted Multi-Armed Bandit (MAB) problem, where a player chooses from $K$ arms with unknown expected rewards and costs.
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
Detecting changes is of fundamental importance when analyzing data streams and has many applications, e. g., predictive maintenance, fraud detection, or medicine.
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