Koopman Operator Identification of Model Parameter Trajectories for Temporal Domain Generalization (KOMET)
arXiv 2603.26923•2a9012afc39a0ee5cf4f2451971ab291e2f8cf633aec052896f6be39e1b6077d
Bayes-MICEEDMDKoopman operatorMALA sampler (Metropolis-Adjusted Langevin) ; Random Walk Met],MCMCQ-learningSDE parameter estimationWiener chaos expansionactive statistical inferencebarycenters on graphsdeep matrix factorizationdomain generalizationentropic regularizationfunctional CLTincentive mechanismsintrinsic gradient descentloss landscapeonline statistical inferenceoptimal transportrandom scaling confidence intervalssentinel-auditingstochastic gradient descenttemporal domain driftweight decayzero-retraining adaptation
Paper metadata
- arXiv ID
- 2603.26923
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
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- Source ID
- arxiv_stat_ml
- Record identifier
- 2a9012afc39a0ee5cf4f2451971ab291e2f8cf633aec052896f6be39e1b6077d
- Enrichment time
- 2026-03-31T07:24:01Z
- AI-assisted enrichment
- Yes
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