138 citations
- Amazon (United States)US6 papers
- University of BristolGB3 papers
- University of OxfordGB3 papers
- Amazon (Germany)DE2 papers
- Universidad Politécnica de MadridES2 papers
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- University of EdinburghGB2 papers
- University of SheffieldGB2 papers
- Aalto UniversityFI1 paper
- Allen InstituteUS1 paper
- Amsterdam University of the ArtsNL1 paper
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Showing 2023 · cs.LGShow all
2 papers · 2 filters
cs.LG2023★ 1 cited
Low-count Time Series Anomaly Detection
Philipp Renz, Kurt Cutajar, Niall Twomey +2
Low-count time series describe sparse or intermittent events, which are prevalent in large-scale online platforms that capture and monitor diverse data types. Several distinct chal…
cs.LG2023★ 1 cited
Learning Action Embeddings for Off-Policy Evaluation
Matej Cief, Jacek Golebiowski, Philipp Schmidt +2
Off-policy evaluation (OPE) methods allow us to compute the expected reward of a policy by using the logged data collected by a different policy. OPE is a viable alternative to run…