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arXiv research

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.

168,695 papers · 148 categories

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0111 · Jan 201619922001200920172026
5 results for “measurement-constrained”
Active Subsampling for Measurement-Constrained M-Estimation of Individualized Thresholds with High-Dimensional Datamath.ST

Study proposes an active subsampling method for estimating individualized thresholds in high-dimensional data.

problem Estimating optimal individualized thresholds in high-dimensional data with limited labeled samples.
method Developed a K-step active subsampling algorithm to iteratively select and label the most informative data points.
result Revealed a phase transition phenomenon in the estimation of θθ with respect to the smoothness of the conditional density.
active subsamplingmeasurement-constrainedM-estimationindividualized thresholdshigh-dimensional data
2024-11-21abs ↗pdf ↗
Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variablesstat.ME

Optimal sampling strategy improves prediction accuracy with surrogate variables under measurement constraints.

problem Measurement-constrained datasets and lack of labeled data.
method A-optimality criterion for optimal sampling, leveraging surrogate variables.
result Achieves lower asymptotic variance and reduced empirical mean squared error.
Optimal samplingGeneralized linear modelMeasurement constraintSurrogate variablesA-optimality
2025-01-01abs ↗pdf ↗