Learning Optimal Distributionally Robust Individualized Treatment Rules Integrating Multi-Source Data
arXiv 2603.05568•0b1f072cdb4f050b6c103465bed4384dc0edffbfb989644dd3d04b01a062a301
L1 regularizationSPPCSOSVM robustnessbehavior-decomposed LDSbounded losscausal inferenceconcept learningdescription logicsdistributional robustnesshigh-dimensional statisticsindividualized treatment rulesinstance retrievallatent dynamical systemsneural data analysisneuro-symbolic reasoningnon-convex optimizationposterior shiftprediction-powered inferenceprincipal component regressionrandom feature ridge regression (RFRR)reproducing kernelscalabilitysemantics-aware cachingsemi-supervised learningvariance reduction
Paper metadata
- arXiv ID
- 2603.05568
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
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Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- 0b1f072cdb4f050b6c103465bed4384dc0edffbfb989644dd3d04b01a062a301
- Enrichment time
- 2026-03-09T07:24:06Z
- AI-assisted enrichment
- Yes
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