Stability and Robustness via Regularization: Bandit Inference via Regularized Stochastic Mirror Descent
arXiv 2603.10184•65035e4a6e3239946db865d8d217d8ad95667294fbc39637bc6b791af58b587d
KSDLLM-evaluationMMDadversarial-robustnessbanditsbayesian-optimizationbias-detectiondata-synthesisdifferential-privacy (mitigation)distribution-shiftequivalence-testinggaussian-processeskernel-testslearning-ratemonitoringonline-learningoptimizationpoisoningpolicy-gradientprivacy-riskregularizationreinforcement-learningstabilitysynthetic-datatensor-clustering
Paper metadata
- arXiv ID
- 2603.10184
- 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
- 65035e4a6e3239946db865d8d217d8ad95667294fbc39637bc6b791af58b587d
- Enrichment time
- 2026-03-12T07:24:01Z
- AI-assisted enrichment
- Yes
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