TLRNet: Estimating Individual Treatment Effect based on Local Information and Single Learner Structure
arXiv 2607.22762•013456390c3d1e75afc026f96e5f1bf18880b614cb6e8c1a8ca470a08340d9be
academic-researchcausal-inferenceconformal-predictionexplainable-aifederated-learninggaussian-processesllm-reliabilitymachine-learningprivacy-preserving-analyticsuncertainty-quantification
Paper metadata
- arXiv ID
- 2607.22762
- 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
- 013456390c3d1e75afc026f96e5f1bf18880b614cb6e8c1a8ca470a08340d9be
- Enrichment time
- 2026-07-28T07:23:50Z
- AI-assisted enrichment
- Yes
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