A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Active learning suffers from biased non-response, which this paper addresses.
Study uses ML to predict non-participation in ELSA COVID-19 follow-up studies.
Protocol minimizes disclosure in classification tasks.
Missing data enhances privacy in differential privacy.
We present ARU, an Adaptive Recurrent Unit for streaming adaptation of deep globally trained time-series forecasting models. The ARU combines the advantages of learning complex data transformations across multiple time series from deep global models, with per-series localization offered by closed-form linear models. Un…
Hydroxyurea (HU) has been shown to be effective in alleviating the symptoms of Sickle Cell Anemia disease. While Hydroxyurea reduces the complications associated with Sickle Cell Anemia in some patients, others do not benefit from this drug and experience deleterious effects since it is also a chemotherapeutic agent. T…
Outliers arise in networks due to different reasons such as fraudulent behavior of malicious users or default in measurement instruments and can significantly impair network analyses. In addition, real-life networks are likely to be incompletely observed, with missing links due to individual non-response or machine fai…
The study analyzes the performance of statistical estimators under stability and computational efficiency.
Deep learning models outperform MICE in large survey imputation but with hyperparameter tuning.
Study predicts internet-based treatment effects for GPPPD based on dyadic coping.