TorchDCM: A Unified PyTorch-Native Package for Discrete Choice Modeling
arXiv 2608.19231•4370b6f1d9ff7f49e8e3d6e377f057211c59726ec0c124f0f49c58529bc503ab
arXivcausal-inferencediffusion-modelsdiscrete-choice-modelinglarge-language-modelsmachine-learning-researchoptimizationquantum-machine-learningresearch-feedstatistical-machine-learninguncertainty-quantification
Paper metadata
- arXiv ID
- 2608.19231
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- 4370b6f1d9ff7f49e8e3d6e377f057211c59726ec0c124f0f49c58529bc503ab
- Enrichment time
- 2026-08-21T07:23:50Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.