A Finite Time Analysis of Thompson Sampling for Bayesian Optimization with Preferential Feedback
arXiv 2604.25025•af7e16ceee196fd560871699a744a46dc97414cd296c94f32e89880c72bf3e53
DFSOSarxivbanditsbayesian-optimizationchange-point-detectiondeflation-freedueling-kerneldynamical-systemsedsvmeffective-dimensionerdos-renyigraph-learningorthogonality-constrained-optimizationphysics-informed-neural-networkspreference-learningregret-boundsresidual-analysisside-observation-graphssparse-optimal-scoringspectral-banditsstat-mlsupport-vector-machinessvmthompson-samplingtransformers-analysis','relu-to-softmax','softmax-attention','ne
Paper metadata
- arXiv ID
- 2604.25025
- 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
- af7e16ceee196fd560871699a744a46dc97414cd296c94f32e89880c72bf3e53
- Enrichment time
- 2026-04-29T07:24:06Z
- 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.